---
_id: '14820'
abstract:
- lang: eng
text: "We consider a natural problem dealing with weighted packet selection across
a rechargeable link, which e.g., finds applications in cryptocurrency networks.
The capacity of a link (u, v) is determined by how many nodes u and v allocate
for this link. Specifically, the input is a finite ordered sequence of packets
that arrive in both directions along a link. Given (u, v) and a packet of weight
x going from u to v, node u can either accept or reject the packet. If u accepts
the packet, the capacity on link (u, v) decreases by x. Correspondingly, v's capacity
on \r\n increases by x. If a node rejects the packet, this will entail a cost
affinely linear in the weight of the packet. A link is “rechargeable” in the sense
that the total capacity of the link has to remain constant, but the allocation
of capacity at the ends of the link can depend arbitrarily on the nodes' decisions.
The goal is to minimise the sum of the capacity injected into the link and the
cost of rejecting packets. We show that the problem is NP-hard, but can be approximated
efficiently with a ratio of (1+E) . (1+3) for some arbitrary E>0."
acknowledgement: We thank Mahsa Bastankhah and Mohammad Ali Maddah-Ali for fruitful
discussions about different variants of the problem. This work is supported by the
European Research Council (ERC) Consolidator Project 864228 (AdjustNet), 2020-2025,
the ERC CoG 863818 (ForM-SMArt), and the German Research Foundation (DFG) grant
470029389 (FlexNets), 2021-2024.
article_number: '114353'
article_processing_charge: Yes (via OA deal)
article_type: original
author:
- first_name: Stefan
full_name: Schmid, Stefan
last_name: Schmid
- first_name: Jakub
full_name: Svoboda, Jakub
id: 130759D2-D7DD-11E9-87D2-DE0DE6697425
last_name: Svoboda
orcid: 0000-0002-1419-3267
- first_name: Michelle X
full_name: Yeo, Michelle X
id: 2D82B818-F248-11E8-B48F-1D18A9856A87
last_name: Yeo
citation:
ama: 'Schmid S, Svoboda J, Yeo MX. Weighted packet selection for rechargeable links
in cryptocurrency networks: Complexity and approximation. Theoretical Computer
Science. 2024;989. doi:10.1016/j.tcs.2023.114353'
apa: 'Schmid, S., Svoboda, J., & Yeo, M. X. (2024). Weighted packet selection
for rechargeable links in cryptocurrency networks: Complexity and approximation.
Theoretical Computer Science. Elsevier. https://doi.org/10.1016/j.tcs.2023.114353'
chicago: 'Schmid, Stefan, Jakub Svoboda, and Michelle X Yeo. “Weighted Packet Selection
for Rechargeable Links in Cryptocurrency Networks: Complexity and Approximation.”
Theoretical Computer Science. Elsevier, 2024. https://doi.org/10.1016/j.tcs.2023.114353.'
ieee: 'S. Schmid, J. Svoboda, and M. X. Yeo, “Weighted packet selection for rechargeable
links in cryptocurrency networks: Complexity and approximation,” Theoretical
Computer Science, vol. 989. Elsevier, 2024.'
ista: 'Schmid S, Svoboda J, Yeo MX. 2024. Weighted packet selection for rechargeable
links in cryptocurrency networks: Complexity and approximation. Theoretical Computer
Science. 989, 114353.'
mla: 'Schmid, Stefan, et al. “Weighted Packet Selection for Rechargeable Links in
Cryptocurrency Networks: Complexity and Approximation.” Theoretical Computer
Science, vol. 989, 114353, Elsevier, 2024, doi:10.1016/j.tcs.2023.114353.'
short: S. Schmid, J. Svoboda, M.X. Yeo, Theoretical Computer Science 989 (2024).
date_created: 2024-01-16T13:40:41Z
date_published: 2024-01-11T00:00:00Z
date_updated: 2024-01-17T09:23:03Z
day: '11'
department:
- _id: KrCh
- _id: KrPi
doi: 10.1016/j.tcs.2023.114353
ec_funded: 1
intvolume: ' 989'
keyword:
- General Computer Science
- Theoretical Computer Science
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.1016/j.tcs.2023.114353
month: '01'
oa: 1
oa_version: Published Version
project:
- _id: 0599E47C-7A3F-11EA-A408-12923DDC885E
call_identifier: H2020
grant_number: '863818'
name: 'Formal Methods for Stochastic Models: Algorithms and Applications'
publication: Theoretical Computer Science
publication_identifier:
issn:
- 0304-3975
publication_status: epub_ahead
publisher: Elsevier
quality_controlled: '1'
status: public
title: 'Weighted packet selection for rechargeable links in cryptocurrency networks:
Complexity and approximation'
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 989
year: '2024'
...
---
_id: '15006'
abstract:
- lang: eng
text: Graphical games are a useful framework for modeling the interactions of (selfish)
agents who are connected via an underlying topology and whose behaviors influence
each other. They have wide applications ranging from computer science to economics
and biology. Yet, even though an agent’s payoff only depends on the actions of
their direct neighbors in graphical games, computing the Nash equilibria and making
statements about the convergence time of "natural" local dynamics in particular
can be highly challenging. In this work, we present a novel approach for classifying
complexity of Nash equilibria in graphical games by establishing a connection
to local graph algorithms, a subfield of distributed computing. In particular,
we make the observation that the equilibria of graphical games are equivalent
to locally verifiable labelings (LVL) in graphs; vertex labelings which are verifiable
with constant-round local algorithms. This connection allows us to derive novel
lower bounds on the convergence time to equilibrium of best-response dynamics
in graphical games. Since we establish that distributed convergence can sometimes
be provably slow, we also introduce and give bounds on an intuitive notion of
"time-constrained" inefficiency of best responses. We exemplify how our results
can be used in the implementation of mechanisms that ensure convergence of best
responses to a Nash equilibrium. Our results thus also give insight into the convergence
of strategy-proof algorithms for graphical games, which is still not well understood.
acknowledgement: This work was partially funded by the Academy of Finland, grant 314888,
the European Research Council CoG 863818 (ForM-SMArt), and the Austrian Science
Fund (FWF) project I 4800-N (ADVISE). LS was supported by the Stochastic Analysis
and Application Research Center (SAARC) under National Research Foundation of Korea
grant NRF-2019R1A5A1028324.
alternative_title:
- LIPIcs
article_number: '11'
article_processing_charge: No
author:
- first_name: Juho
full_name: Hirvonen, Juho
last_name: Hirvonen
- first_name: Laura
full_name: Schmid, Laura
id: 38B437DE-F248-11E8-B48F-1D18A9856A87
last_name: Schmid
orcid: 0000-0002-6978-7329
- first_name: Krishnendu
full_name: Chatterjee, Krishnendu
id: 2E5DCA20-F248-11E8-B48F-1D18A9856A87
last_name: Chatterjee
orcid: 0000-0002-4561-241X
- first_name: Stefan
full_name: Schmid, Stefan
last_name: Schmid
citation:
ama: 'Hirvonen J, Schmid L, Chatterjee K, Schmid S. On the convergence time in graphical
games: A locality-sensitive approach. In: 27th International Conference on
Principles of Distributed Systems. Vol 286. Schloss Dagstuhl - Leibniz-Zentrum
für Informatik; 2024. doi:10.4230/LIPIcs.OPODIS.2023.11'
apa: 'Hirvonen, J., Schmid, L., Chatterjee, K., & Schmid, S. (2024). On the
convergence time in graphical games: A locality-sensitive approach. In 27th
International Conference on Principles of Distributed Systems (Vol. 286).
Tokyo, Japan: Schloss Dagstuhl - Leibniz-Zentrum für Informatik. https://doi.org/10.4230/LIPIcs.OPODIS.2023.11'
chicago: 'Hirvonen, Juho, Laura Schmid, Krishnendu Chatterjee, and Stefan Schmid.
“On the Convergence Time in Graphical Games: A Locality-Sensitive Approach.” In
27th International Conference on Principles of Distributed Systems, Vol.
286. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2024. https://doi.org/10.4230/LIPIcs.OPODIS.2023.11.'
ieee: 'J. Hirvonen, L. Schmid, K. Chatterjee, and S. Schmid, “On the convergence
time in graphical games: A locality-sensitive approach,” in 27th International
Conference on Principles of Distributed Systems, Tokyo, Japan, 2024, vol.
286.'
ista: 'Hirvonen J, Schmid L, Chatterjee K, Schmid S. 2024. On the convergence time
in graphical games: A locality-sensitive approach. 27th International Conference
on Principles of Distributed Systems. OPODIS: Conference on Principles of Distributed
Systems, LIPIcs, vol. 286, 11.'
mla: 'Hirvonen, Juho, et al. “On the Convergence Time in Graphical Games: A Locality-Sensitive
Approach.” 27th International Conference on Principles of Distributed Systems,
vol. 286, 11, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2024, doi:10.4230/LIPIcs.OPODIS.2023.11.'
short: J. Hirvonen, L. Schmid, K. Chatterjee, S. Schmid, in:, 27th International
Conference on Principles of Distributed Systems, Schloss Dagstuhl - Leibniz-Zentrum
für Informatik, 2024.
conference:
end_date: 2023-12-08
location: Tokyo, Japan
name: 'OPODIS: Conference on Principles of Distributed Systems'
start_date: 2023-12-06
date_created: 2024-02-18T23:01:01Z
date_published: 2024-01-18T00:00:00Z
date_updated: 2024-02-26T09:16:12Z
day: '18'
ddc:
- '000'
department:
- _id: KrCh
doi: 10.4230/LIPIcs.OPODIS.2023.11
ec_funded: 1
external_id:
arxiv:
- '2102.13457'
file:
- access_level: open_access
checksum: 4fc7eea6e4ba140b904781fc7df868ec
content_type: application/pdf
creator: dernst
date_created: 2024-02-26T09:04:58Z
date_updated: 2024-02-26T09:04:58Z
file_id: '15028'
file_name: 2024_LIPICs_Hirvonen.pdf
file_size: 867363
relation: main_file
success: 1
file_date_updated: 2024-02-26T09:04:58Z
has_accepted_license: '1'
intvolume: ' 286'
language:
- iso: eng
license: https://creativecommons.org/licenses/by/4.0/
month: '01'
oa: 1
oa_version: Published Version
project:
- _id: 0599E47C-7A3F-11EA-A408-12923DDC885E
call_identifier: H2020
grant_number: '863818'
name: 'Formal Methods for Stochastic Models: Algorithms and Applications'
publication: 27th International Conference on Principles of Distributed Systems
publication_identifier:
isbn:
- '9783959773089'
issn:
- '18688969'
publication_status: published
publisher: Schloss Dagstuhl - Leibniz-Zentrum für Informatik
quality_controlled: '1'
scopus_import: '1'
status: public
title: 'On the convergence time in graphical games: A locality-sensitive approach'
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 286
year: '2024'
...
---
_id: '15083'
abstract:
- lang: eng
text: 'Direct reciprocity is a powerful mechanism for cooperation in social
dilemmas. The very logic of reciprocity, however, seems to require that individuals
are symmetric, and that everyone has the same means to influence each others’
payoffs. Yet in many applications, individuals are asymmetric. Herein, we study
the effect of asymmetry in linear public good games. Individuals may differ in
their endowments (their ability to contribute to a public good) and in their productivities
(how effective their contributions are). Given the individuals’ productivities,
we ask which allocation of endowments is optimal for cooperation. To this end,
we consider two notions of optimality. The first notion focuses on the resilience
of cooperation. The respective endowment distribution ensures that full cooperation
is feasible even under the most adverse conditions. The second notion focuses
on efficiency. The corresponding endowment distribution maximizes group welfare.
Using analytical methods, we fully characterize these two endowment distributions.
This analysis reveals that both optimality notions favor some endowment inequality:
More productive players ought to get higher endowments. Yet the two notions disagree
on how unequal endowments are supposed to be. A focus on resilience results in
less inequality. With additional simulations, we show that the optimal endowment
allocation needs to account for both the resilience and the efficiency of cooperation.'
acknowledgement: 'This work was supported by the European Research Council CoG 863818
(ForM-SMArt) (to K.C.) and the European Research Council Starting Grant 850529:
E-DIRECT (to C.H.), the European Union’s Horizon 2020 research and innovation program
under the Marie Skłodowska-Curie Grant Agreement #754411 and the French Agence Nationale
de la Recherche (under the Investissement d’Avenir Programme, ANR-17-EURE-0010)
(to M.K.).'
article_number: e2315558121
article_processing_charge: Yes (in subscription journal)
article_type: original
author:
- first_name: Valentin
full_name: Hübner, Valentin
id: 2c8aa207-dc7d-11ea-9b2f-f22972ecd910
last_name: Hübner
- first_name: Manuel
full_name: Staab, Manuel
last_name: Staab
- first_name: Christian
full_name: Hilbe, Christian
id: 2FDF8F3C-F248-11E8-B48F-1D18A9856A87
last_name: Hilbe
orcid: 0000-0001-5116-955X
- first_name: Krishnendu
full_name: Chatterjee, Krishnendu
id: 2E5DCA20-F248-11E8-B48F-1D18A9856A87
last_name: Chatterjee
orcid: 0000-0002-4561-241X
- first_name: Maria
full_name: Kleshnina, Maria
last_name: Kleshnina
citation:
ama: Hübner V, Staab M, Hilbe C, Chatterjee K, Kleshnina M. Efficiency and resilience
of cooperation in asymmetric social dilemmas. Proceedings of the National Academy
of Sciences. 2024;121(10). doi:10.1073/pnas.2315558121
apa: Hübner, V., Staab, M., Hilbe, C., Chatterjee, K., & Kleshnina, M. (2024).
Efficiency and resilience of cooperation in asymmetric social dilemmas. Proceedings
of the National Academy of Sciences. Proceedings of the National Academy of
Sciences. https://doi.org/10.1073/pnas.2315558121
chicago: Hübner, Valentin, Manuel Staab, Christian Hilbe, Krishnendu Chatterjee,
and Maria Kleshnina. “Efficiency and Resilience of Cooperation in Asymmetric Social
Dilemmas.” Proceedings of the National Academy of Sciences. Proceedings
of the National Academy of Sciences, 2024. https://doi.org/10.1073/pnas.2315558121.
ieee: V. Hübner, M. Staab, C. Hilbe, K. Chatterjee, and M. Kleshnina, “Efficiency
and resilience of cooperation in asymmetric social dilemmas,” Proceedings of
the National Academy of Sciences, vol. 121, no. 10. Proceedings of the National
Academy of Sciences, 2024.
ista: Hübner V, Staab M, Hilbe C, Chatterjee K, Kleshnina M. 2024. Efficiency and
resilience of cooperation in asymmetric social dilemmas. Proceedings of the National
Academy of Sciences. 121(10), e2315558121.
mla: Hübner, Valentin, et al. “Efficiency and Resilience of Cooperation in Asymmetric
Social Dilemmas.” Proceedings of the National Academy of Sciences, vol.
121, no. 10, e2315558121, Proceedings of the National Academy of Sciences, 2024,
doi:10.1073/pnas.2315558121.
short: V. Hübner, M. Staab, C. Hilbe, K. Chatterjee, M. Kleshnina, Proceedings of
the National Academy of Sciences 121 (2024).
date_created: 2024-03-05T09:18:49Z
date_published: 2024-03-05T00:00:00Z
date_updated: 2024-03-12T13:29:25Z
day: '05'
ddc:
- '000'
department:
- _id: KrCh
doi: 10.1073/pnas.2315558121
ec_funded: 1
external_id:
pmid:
- '38408249'
file:
- access_level: open_access
checksum: 068520e3efd4d008bb9177e8aedb7d22
content_type: application/pdf
creator: dernst
date_created: 2024-03-12T13:12:22Z
date_updated: 2024-03-12T13:12:22Z
file_id: '15109'
file_name: 2024_PNAS_Huebner.pdf
file_size: 2203220
relation: main_file
success: 1
file_date_updated: 2024-03-12T13:12:22Z
has_accepted_license: '1'
intvolume: ' 121'
issue: '10'
language:
- iso: eng
license: https://creativecommons.org/licenses/by-nc-nd/4.0/
month: '03'
oa: 1
oa_version: Published Version
pmid: 1
project:
- _id: 0599E47C-7A3F-11EA-A408-12923DDC885E
call_identifier: H2020
grant_number: '863818'
name: 'Formal Methods for Stochastic Models: Algorithms and Applications'
- _id: 260C2330-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '754411'
name: ISTplus - Postdoctoral Fellowships
publication: Proceedings of the National Academy of Sciences
publication_identifier:
eissn:
- 1091-6490
issn:
- 0027-8424
publication_status: published
publisher: Proceedings of the National Academy of Sciences
quality_controlled: '1'
related_material:
link:
- description: News on ISTA Website
relation: press_release
url: https://ista.ac.at/en/news/what-math-tells-us-about-social-dilemmas/
record:
- id: '15108'
relation: research_data
status: public
status: public
title: Efficiency and resilience of cooperation in asymmetric social dilemmas
tmp:
image: /images/cc_by_nc_nd.png
legal_code_url: https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode
name: Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
(CC BY-NC-ND 4.0)
short: CC BY-NC-ND (4.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 121
year: '2024'
...
---
_id: '15108'
abstract:
- lang: eng
text: "in the research article \"Efficiency and resilience of cooperation in asymmetric
social dilemmas\" (by Valentin Hübner, Manuel Staab, Christian Hilbe, Krishnendu
Chatterjee, and Maria Kleshnina).\r\n\r\nWe used different implementations for
the case of two and three players, both described below."
article_processing_charge: No
author:
- first_name: Valentin
full_name: Hübner, Valentin
id: 2c8aa207-dc7d-11ea-9b2f-f22972ecd910
last_name: Hübner
- first_name: Maria
full_name: Kleshnina, Maria
last_name: Kleshnina
citation:
ama: Hübner V, Kleshnina M. Computer code for “Efficiency and resilience of cooperation
in asymmetric social dilemmas.” 2024. doi:10.5281/ZENODO.10639167
apa: Hübner, V., & Kleshnina, M. (2024). Computer code for “Efficiency and resilience
of cooperation in asymmetric social dilemmas.” Zenodo. https://doi.org/10.5281/ZENODO.10639167
chicago: Hübner, Valentin, and Maria Kleshnina. “Computer Code for ‘Efficiency and
Resilience of Cooperation in Asymmetric Social Dilemmas.’” Zenodo, 2024. https://doi.org/10.5281/ZENODO.10639167.
ieee: V. Hübner and M. Kleshnina, “Computer code for ‘Efficiency and resilience
of cooperation in asymmetric social dilemmas.’” Zenodo, 2024.
ista: Hübner V, Kleshnina M. 2024. Computer code for ‘Efficiency and resilience
of cooperation in asymmetric social dilemmas’, Zenodo, 10.5281/ZENODO.10639167.
mla: Hübner, Valentin, and Maria Kleshnina. Computer Code for “Efficiency and
Resilience of Cooperation in Asymmetric Social Dilemmas.” Zenodo, 2024, doi:10.5281/ZENODO.10639167.
short: V. Hübner, M. Kleshnina, (2024).
date_created: 2024-03-12T13:02:58Z
date_published: 2024-02-09T00:00:00Z
date_updated: 2024-03-12T13:29:26Z
day: '09'
ddc:
- '000'
department:
- _id: KrCh
doi: 10.5281/ZENODO.10639167
has_accepted_license: '1'
main_file_link:
- open_access: '1'
url: https://10.5281/zenodo.10639167
month: '02'
oa: 1
oa_version: Published Version
publisher: Zenodo
related_material:
record:
- id: '15083'
relation: used_in_publication
status: public
status: public
title: Computer code for "Efficiency and resilience of cooperation in asymmetric social
dilemmas"
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: research_data_reference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2024'
...
---
_id: '12676'
abstract:
- lang: eng
text: Turn-based stochastic games (aka simple stochastic games) are two-player zero-sum
games played on directed graphs with probabilistic transitions. The goal of player-max
is to maximize the probability to reach a target state against the adversarial
player-min. These games lie in NP ∩ coNP and are among the rare combinatorial
problems that belong to this complexity class for which the existence of polynomial-time
algorithm is a major open question. While randomized sub-exponential time algorithm
exists, all known deterministic algorithms require exponential time in the worst-case.
An important open question has been whether faster algorithms can be obtained
parametrized by the treewidth of the game graph. Even deterministic sub-exponential
time algorithm for constant treewidth turn-based stochastic games has remain elusive.
In this work our main result is a deterministic algorithm to solve turn-based
stochastic games that, given a game with n states, treewidth at most t, and the
bit-complexity of the probabilistic transition function log D, has running time
O ((tn2 log D)t log n). In particular, our algorithm is quasi-polynomial time
for games with constant or poly-logarithmic treewidth.
acknowledgement: This research was partially supported by the ERC CoG 863818 (ForM-SMArt)
grant.
article_processing_charge: No
author:
- first_name: Krishnendu
full_name: Chatterjee, Krishnendu
id: 2E5DCA20-F248-11E8-B48F-1D18A9856A87
last_name: Chatterjee
orcid: 0000-0002-4561-241X
- first_name: Tobias
full_name: Meggendorfer, Tobias
id: b21b0c15-30a2-11eb-80dc-f13ca25802e1
last_name: Meggendorfer
orcid: 0000-0002-1712-2165
- first_name: Raimundo J
full_name: Saona Urmeneta, Raimundo J
id: BD1DF4C4-D767-11E9-B658-BC13E6697425
last_name: Saona Urmeneta
orcid: 0000-0001-5103-038X
- first_name: Jakub
full_name: Svoboda, Jakub
id: 130759D2-D7DD-11E9-87D2-DE0DE6697425
last_name: Svoboda
citation:
ama: 'Chatterjee K, Meggendorfer T, Saona Urmeneta RJ, Svoboda J. Faster algorithm
for turn-based stochastic games with bounded treewidth. In: Proceedings of
the 2023 Annual ACM-SIAM Symposium on Discrete Algorithms. Society for Industrial
and Applied Mathematics; 2023:4590-4605. doi:10.1137/1.9781611977554.ch173'
apa: 'Chatterjee, K., Meggendorfer, T., Saona Urmeneta, R. J., & Svoboda, J.
(2023). Faster algorithm for turn-based stochastic games with bounded treewidth.
In Proceedings of the 2023 Annual ACM-SIAM Symposium on Discrete Algorithms
(pp. 4590–4605). Florence, Italy: Society for Industrial and Applied Mathematics.
https://doi.org/10.1137/1.9781611977554.ch173'
chicago: Chatterjee, Krishnendu, Tobias Meggendorfer, Raimundo J Saona Urmeneta,
and Jakub Svoboda. “Faster Algorithm for Turn-Based Stochastic Games with Bounded
Treewidth.” In Proceedings of the 2023 Annual ACM-SIAM Symposium on Discrete
Algorithms, 4590–4605. Society for Industrial and Applied Mathematics, 2023.
https://doi.org/10.1137/1.9781611977554.ch173.
ieee: K. Chatterjee, T. Meggendorfer, R. J. Saona Urmeneta, and J. Svoboda, “Faster
algorithm for turn-based stochastic games with bounded treewidth,” in Proceedings
of the 2023 Annual ACM-SIAM Symposium on Discrete Algorithms, Florence, Italy,
2023, pp. 4590–4605.
ista: 'Chatterjee K, Meggendorfer T, Saona Urmeneta RJ, Svoboda J. 2023. Faster
algorithm for turn-based stochastic games with bounded treewidth. Proceedings
of the 2023 Annual ACM-SIAM Symposium on Discrete Algorithms. SODA: Symposium
on Discrete Algorithms, 4590–4605.'
mla: Chatterjee, Krishnendu, et al. “Faster Algorithm for Turn-Based Stochastic
Games with Bounded Treewidth.” Proceedings of the 2023 Annual ACM-SIAM Symposium
on Discrete Algorithms, Society for Industrial and Applied Mathematics, 2023,
pp. 4590–605, doi:10.1137/1.9781611977554.ch173.
short: K. Chatterjee, T. Meggendorfer, R.J. Saona Urmeneta, J. Svoboda, in:, Proceedings
of the 2023 Annual ACM-SIAM Symposium on Discrete Algorithms, Society for Industrial
and Applied Mathematics, 2023, pp. 4590–4605.
conference:
end_date: 2023-01-25
location: Florence, Italy
name: 'SODA: Symposium on Discrete Algorithms'
start_date: 2023-01-22
date_created: 2023-02-24T12:20:47Z
date_published: 2023-02-01T00:00:00Z
date_updated: 2023-02-27T09:01:16Z
day: '01'
department:
- _id: GradSch
- _id: KrCh
doi: 10.1137/1.9781611977554.ch173
ec_funded: 1
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.1137/1.9781611977554.ch173
month: '02'
oa: 1
oa_version: Published Version
page: 4590-4605
project:
- _id: 0599E47C-7A3F-11EA-A408-12923DDC885E
call_identifier: H2020
grant_number: '863818'
name: 'Formal Methods for Stochastic Models: Algorithms and Applications'
publication: Proceedings of the 2023 Annual ACM-SIAM Symposium on Discrete Algorithms
publication_identifier:
isbn:
- '9781611977554'
publication_status: published
publisher: Society for Industrial and Applied Mathematics
quality_controlled: '1'
status: public
title: Faster algorithm for turn-based stochastic games with bounded treewidth
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2023'
...
---
_id: '13142'
abstract:
- lang: eng
text: Reinforcement learning has received much attention for learning controllers
of deterministic systems. We consider a learner-verifier framework for stochastic
control systems and survey recent methods that formally guarantee a conjunction
of reachability and safety properties. Given a property and a lower bound on the
probability of the property being satisfied, our framework jointly learns a control
policy and a formal certificate to ensure the satisfaction of the property with
a desired probability threshold. Both the control policy and the formal certificate
are continuous functions from states to reals, which are learned as parameterized
neural networks. While in the deterministic case, the certificates are invariant
and barrier functions for safety, or Lyapunov and ranking functions for liveness,
in the stochastic case the certificates are supermartingales. For certificate
verification, we use interval arithmetic abstract interpretation to bound the
expected values of neural network functions.
acknowledgement: This work was supported in part by the ERC-2020-AdG 101020093, ERC
CoG 863818 (FoRM-SMArt) and the European Union’s Horizon 2020 research and innovation
programme under the Marie Skłodowska-Curie Grant Agreement No. 665385.
alternative_title:
- LNCS
article_processing_charge: No
author:
- first_name: Krishnendu
full_name: Chatterjee, Krishnendu
id: 2E5DCA20-F248-11E8-B48F-1D18A9856A87
last_name: Chatterjee
orcid: 0000-0002-4561-241X
- first_name: Thomas A
full_name: Henzinger, Thomas A
id: 40876CD8-F248-11E8-B48F-1D18A9856A87
last_name: Henzinger
orcid: 0000-0002-2985-7724
- first_name: Mathias
full_name: Lechner, Mathias
id: 3DC22916-F248-11E8-B48F-1D18A9856A87
last_name: Lechner
- first_name: Dorde
full_name: Zikelic, Dorde
id: 294AA7A6-F248-11E8-B48F-1D18A9856A87
last_name: Zikelic
citation:
ama: 'Chatterjee K, Henzinger TA, Lechner M, Zikelic D. A learner-verifier framework
for neural network controllers and certificates of stochastic systems. In: Tools
and Algorithms for the Construction and Analysis of Systems . Vol 13993. Springer
Nature; 2023:3-25. doi:10.1007/978-3-031-30823-9_1'
apa: 'Chatterjee, K., Henzinger, T. A., Lechner, M., & Zikelic, D. (2023). A
learner-verifier framework for neural network controllers and certificates of
stochastic systems. In Tools and Algorithms for the Construction and Analysis
of Systems (Vol. 13993, pp. 3–25). Paris, France: Springer Nature. https://doi.org/10.1007/978-3-031-30823-9_1'
chicago: Chatterjee, Krishnendu, Thomas A Henzinger, Mathias Lechner, and Dorde
Zikelic. “A Learner-Verifier Framework for Neural Network Controllers and Certificates
of Stochastic Systems.” In Tools and Algorithms for the Construction and Analysis
of Systems , 13993:3–25. Springer Nature, 2023. https://doi.org/10.1007/978-3-031-30823-9_1.
ieee: K. Chatterjee, T. A. Henzinger, M. Lechner, and D. Zikelic, “A learner-verifier
framework for neural network controllers and certificates of stochastic systems,”
in Tools and Algorithms for the Construction and Analysis of Systems ,
Paris, France, 2023, vol. 13993, pp. 3–25.
ista: 'Chatterjee K, Henzinger TA, Lechner M, Zikelic D. 2023. A learner-verifier
framework for neural network controllers and certificates of stochastic systems.
Tools and Algorithms for the Construction and Analysis of Systems . TACAS: Tools
and Algorithms for the Construction and Analysis of Systems, LNCS, vol. 13993,
3–25.'
mla: Chatterjee, Krishnendu, et al. “A Learner-Verifier Framework for Neural Network
Controllers and Certificates of Stochastic Systems.” Tools and Algorithms for
the Construction and Analysis of Systems , vol. 13993, Springer Nature, 2023,
pp. 3–25, doi:10.1007/978-3-031-30823-9_1.
short: K. Chatterjee, T.A. Henzinger, M. Lechner, D. Zikelic, in:, Tools and Algorithms
for the Construction and Analysis of Systems , Springer Nature, 2023, pp. 3–25.
conference:
end_date: 2023-04-27
location: Paris, France
name: 'TACAS: Tools and Algorithms for the Construction and Analysis of Systems'
start_date: 2023-04-22
date_created: 2023-06-18T22:00:47Z
date_published: 2023-04-22T00:00:00Z
date_updated: 2023-06-19T08:30:54Z
day: '22'
ddc:
- '000'
department:
- _id: KrCh
- _id: ToHe
doi: 10.1007/978-3-031-30823-9_1
ec_funded: 1
file:
- access_level: open_access
checksum: 3d8a8bb24d211bc83360dfc2fd744307
content_type: application/pdf
creator: dernst
date_created: 2023-06-19T08:29:30Z
date_updated: 2023-06-19T08:29:30Z
file_id: '13150'
file_name: 2023_LNCS_Chatterjee.pdf
file_size: 528455
relation: main_file
success: 1
file_date_updated: 2023-06-19T08:29:30Z
has_accepted_license: '1'
intvolume: ' 13993'
language:
- iso: eng
month: '04'
oa: 1
oa_version: Published Version
page: 3-25
project:
- _id: 0599E47C-7A3F-11EA-A408-12923DDC885E
call_identifier: H2020
grant_number: '863818'
name: 'Formal Methods for Stochastic Models: Algorithms and Applications'
- _id: 2564DBCA-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '665385'
name: International IST Doctoral Program
publication: 'Tools and Algorithms for the Construction and Analysis of Systems '
publication_identifier:
eissn:
- 1611-3349
isbn:
- '9783031308222'
issn:
- 0302-9743
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
scopus_import: '1'
status: public
title: A learner-verifier framework for neural network controllers and certificates
of stochastic systems
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 13993
year: '2023'
...
---
_id: '12787'
abstract:
- lang: eng
text: "Populations evolve in spatially heterogeneous environments. While a certain
trait might bring a fitness advantage in some patch of the environment, a different
trait might be advantageous in another patch. Here, we study the Moran birth–death
process with two types of individuals in a population stretched across two patches
of size N, each patch favouring one of the two types. We show that the long-term
fate of such populations crucially depends on the migration rate μ\r\n between
the patches. To classify the possible fates, we use the distinction between polynomial
(short) and exponential (long) timescales. We show that when μ is high then one
of the two types fixates on the whole population after a number of steps that
is only polynomial in N. By contrast, when μ is low then each type holds majority
in the patch where it is favoured for a number of steps that is at least exponential
in N. Moreover, we precisely identify the threshold migration rate μ⋆ that separates
those two scenarios, thereby exactly delineating the situations that support long-term
coexistence of the two types. We also discuss the case of various cycle graphs
and we present computer simulations that perfectly match our analytical results."
acknowledgement: J.S. and K.C. acknowledge support from the ERC CoG 863818 (ForM-SMArt)
article_number: '20220685'
article_processing_charge: No
article_type: original
author:
- first_name: Jakub
full_name: Svoboda, Jakub
id: 130759D2-D7DD-11E9-87D2-DE0DE6697425
last_name: Svoboda
- first_name: Josef
full_name: Tkadlec, Josef
id: 3F24CCC8-F248-11E8-B48F-1D18A9856A87
last_name: Tkadlec
orcid: 0000-0002-1097-9684
- first_name: Kamran
full_name: Kaveh, Kamran
last_name: Kaveh
- first_name: Krishnendu
full_name: Chatterjee, Krishnendu
id: 2E5DCA20-F248-11E8-B48F-1D18A9856A87
last_name: Chatterjee
orcid: 0000-0002-4561-241X
citation:
ama: 'Svoboda J, Tkadlec J, Kaveh K, Chatterjee K. Coexistence times in the Moran
process with environmental heterogeneity. Proceedings of the Royal Society
A: Mathematical, Physical and Engineering Sciences. 2023;479(2271). doi:10.1098/rspa.2022.0685'
apa: 'Svoboda, J., Tkadlec, J., Kaveh, K., & Chatterjee, K. (2023). Coexistence
times in the Moran process with environmental heterogeneity. Proceedings of
the Royal Society A: Mathematical, Physical and Engineering Sciences. The
Royal Society. https://doi.org/10.1098/rspa.2022.0685'
chicago: 'Svoboda, Jakub, Josef Tkadlec, Kamran Kaveh, and Krishnendu Chatterjee.
“Coexistence Times in the Moran Process with Environmental Heterogeneity.” Proceedings
of the Royal Society A: Mathematical, Physical and Engineering Sciences. The
Royal Society, 2023. https://doi.org/10.1098/rspa.2022.0685.'
ieee: 'J. Svoboda, J. Tkadlec, K. Kaveh, and K. Chatterjee, “Coexistence times in
the Moran process with environmental heterogeneity,” Proceedings of the Royal
Society A: Mathematical, Physical and Engineering Sciences, vol. 479, no.
2271. The Royal Society, 2023.'
ista: 'Svoboda J, Tkadlec J, Kaveh K, Chatterjee K. 2023. Coexistence times in the
Moran process with environmental heterogeneity. Proceedings of the Royal Society
A: Mathematical, Physical and Engineering Sciences. 479(2271), 20220685.'
mla: 'Svoboda, Jakub, et al. “Coexistence Times in the Moran Process with Environmental
Heterogeneity.” Proceedings of the Royal Society A: Mathematical, Physical
and Engineering Sciences, vol. 479, no. 2271, 20220685, The Royal Society,
2023, doi:10.1098/rspa.2022.0685.'
short: 'J. Svoboda, J. Tkadlec, K. Kaveh, K. Chatterjee, Proceedings of the Royal
Society A: Mathematical, Physical and Engineering Sciences 479 (2023).'
date_created: 2023-04-02T22:01:09Z
date_published: 2023-03-29T00:00:00Z
date_updated: 2023-08-01T13:58:34Z
day: '29'
ddc:
- '000'
department:
- _id: KrCh
doi: 10.1098/rspa.2022.0685
ec_funded: 1
external_id:
isi:
- '000957125500002'
file:
- access_level: open_access
checksum: 13953d349fbefcb5d21ccc6b303297eb
content_type: application/pdf
creator: dernst
date_created: 2023-04-03T06:25:29Z
date_updated: 2023-04-03T06:25:29Z
file_id: '12796'
file_name: 2023_ProceedingsRoyalSocietyA_Svoboda.pdf
file_size: 827784
relation: main_file
success: 1
file_date_updated: 2023-04-03T06:25:29Z
has_accepted_license: '1'
intvolume: ' 479'
isi: 1
issue: '2271'
language:
- iso: eng
month: '03'
oa: 1
oa_version: Published Version
project:
- _id: 0599E47C-7A3F-11EA-A408-12923DDC885E
call_identifier: H2020
grant_number: '863818'
name: 'Formal Methods for Stochastic Models: Algorithms and Applications'
publication: 'Proceedings of the Royal Society A: Mathematical, Physical and Engineering
Sciences'
publication_identifier:
eissn:
- 1471-2946
issn:
- 1364-5021
publication_status: published
publisher: The Royal Society
quality_controlled: '1'
related_material:
link:
- relation: research_data
url: https://doi.org/10.6084/m9.figshare.21261771.v1
scopus_import: '1'
status: public
title: Coexistence times in the Moran process with environmental heterogeneity
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 479
year: '2023'
...
---
_id: '12861'
abstract:
- lang: eng
text: The field of indirect reciprocity investigates how social norms can foster
cooperation when individuals continuously monitor and assess each other’s social
interactions. By adhering to certain social norms, cooperating individuals can
improve their reputation and, in turn, receive benefits from others. Eight social
norms, known as the “leading eight," have been shown to effectively promote the
evolution of cooperation as long as information is public and reliable. These
norms categorize group members as either ’good’ or ’bad’. In this study, we examine
a scenario where individuals instead assign nuanced reputation scores to each
other, and only cooperate with those whose reputation exceeds a certain threshold.
We find both analytically and through simulations that such quantitative assessments
are error-correcting, thus facilitating cooperation in situations where information
is private and unreliable. Moreover, our results identify four specific norms
that are robust to such conditions, and may be relevant for helping to sustain
cooperation in natural populations.
acknowledgement: 'This work was supported by the European Research Council CoG 863818
(ForM-SMArt) (to K.C.) and the European Research Council Starting Grant 850529:
E-DIRECT (to C.H.). L.S. received additional partial support by the Austrian Science
Fund (FWF) under grant Z211-N23 (Wittgenstein Award), and also thanks the support
by the Stochastic Analysis and Application Research Center (SAARC) under National
Research Foundation of Korea grant NRF-2019R1A5A1028324. The authors additionally
thank Stefan Schmid for providing access to his lab infrastructure at the University
of Vienna for the purpose of collecting simulation data.'
article_number: '2086'
article_processing_charge: No
article_type: original
author:
- first_name: Laura
full_name: Schmid, Laura
id: 38B437DE-F248-11E8-B48F-1D18A9856A87
last_name: Schmid
orcid: 0000-0002-6978-7329
- first_name: Farbod
full_name: Ekbatani, Farbod
last_name: Ekbatani
- first_name: Christian
full_name: Hilbe, Christian
id: 2FDF8F3C-F248-11E8-B48F-1D18A9856A87
last_name: Hilbe
orcid: 0000-0001-5116-955X
- first_name: Krishnendu
full_name: Chatterjee, Krishnendu
id: 2E5DCA20-F248-11E8-B48F-1D18A9856A87
last_name: Chatterjee
orcid: 0000-0002-4561-241X
citation:
ama: Schmid L, Ekbatani F, Hilbe C, Chatterjee K. Quantitative assessment can stabilize
indirect reciprocity under imperfect information. Nature Communications.
2023;14. doi:10.1038/s41467-023-37817-x
apa: Schmid, L., Ekbatani, F., Hilbe, C., & Chatterjee, K. (2023). Quantitative
assessment can stabilize indirect reciprocity under imperfect information. Nature
Communications. Springer Nature. https://doi.org/10.1038/s41467-023-37817-x
chicago: Schmid, Laura, Farbod Ekbatani, Christian Hilbe, and Krishnendu Chatterjee.
“Quantitative Assessment Can Stabilize Indirect Reciprocity under Imperfect Information.”
Nature Communications. Springer Nature, 2023. https://doi.org/10.1038/s41467-023-37817-x.
ieee: L. Schmid, F. Ekbatani, C. Hilbe, and K. Chatterjee, “Quantitative assessment
can stabilize indirect reciprocity under imperfect information,” Nature Communications,
vol. 14. Springer Nature, 2023.
ista: Schmid L, Ekbatani F, Hilbe C, Chatterjee K. 2023. Quantitative assessment
can stabilize indirect reciprocity under imperfect information. Nature Communications.
14, 2086.
mla: Schmid, Laura, et al. “Quantitative Assessment Can Stabilize Indirect Reciprocity
under Imperfect Information.” Nature Communications, vol. 14, 2086, Springer
Nature, 2023, doi:10.1038/s41467-023-37817-x.
short: L. Schmid, F. Ekbatani, C. Hilbe, K. Chatterjee, Nature Communications 14
(2023).
date_created: 2023-04-23T22:01:03Z
date_published: 2023-04-12T00:00:00Z
date_updated: 2023-08-01T14:15:57Z
day: '12'
ddc:
- '000'
department:
- _id: KrCh
doi: 10.1038/s41467-023-37817-x
ec_funded: 1
external_id:
isi:
- '001003644100020'
pmid:
- '37045828'
file:
- access_level: open_access
checksum: a4b3b7b36fbef068cabf4fb99501fef6
content_type: application/pdf
creator: dernst
date_created: 2023-04-25T09:13:53Z
date_updated: 2023-04-25T09:13:53Z
file_id: '12868'
file_name: 2023_NatureComm_Schmid.pdf
file_size: 1786475
relation: main_file
success: 1
file_date_updated: 2023-04-25T09:13:53Z
has_accepted_license: '1'
intvolume: ' 14'
isi: 1
language:
- iso: eng
month: '04'
oa: 1
oa_version: Published Version
pmid: 1
project:
- _id: 0599E47C-7A3F-11EA-A408-12923DDC885E
call_identifier: H2020
grant_number: '863818'
name: 'Formal Methods for Stochastic Models: Algorithms and Applications'
- _id: 25F42A32-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: Z211
name: The Wittgenstein Prize
publication: Nature Communications
publication_identifier:
eissn:
- 2041-1723
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
scopus_import: '1'
status: public
title: Quantitative assessment can stabilize indirect reciprocity under imperfect
information
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 14
year: '2023'
...
---
_id: '14242'
abstract:
- lang: eng
text: We study the problem of training and certifying adversarially robust quantized
neural networks (QNNs). Quantization is a technique for making neural networks
more efficient by running them using low-bit integer arithmetic and is therefore
commonly adopted in industry. Recent work has shown that floating-point neural
networks that have been verified to be robust can become vulnerable to adversarial
attacks after quantization, and certification of the quantized representation
is necessary to guarantee robustness. In this work, we present quantization-aware
interval bound propagation (QA-IBP), a novel method for training robust QNNs.
Inspired by advances in robust learning of non-quantized networks, our training
algorithm computes the gradient of an abstract representation of the actual network.
Unlike existing approaches, our method can handle the discrete semantics of QNNs.
Based on QA-IBP, we also develop a complete verification procedure for verifying
the adversarial robustness of QNNs, which is guaranteed to terminate and produce
a correct answer. Compared to existing approaches, the key advantage of our verification
procedure is that it runs entirely on GPU or other accelerator devices. We demonstrate
experimentally that our approach significantly outperforms existing methods and
establish the new state-of-the-art for training and certifying the robustness
of QNNs.
acknowledgement: "This work was supported in part by the ERC-2020-AdG 101020093, ERC
CoG 863818 (FoRM-SMArt) and the European Union’s Horizon 2020 research and innovation
programme under the Marie Skłodowska-Curie Grant Agreement No. 665385. Research
was sponsored by the United\r\nStates Air Force Research Laboratory and the United
States Air Force Artificial Intelligence Accelerator and was accomplished under
Cooperative Agreement Number FA8750-19-2-\r\n1000. The views and conclusions contained
in this document are those of the authors and should not be interpreted as representing
the official policies, either expressed or implied,\r\nof the United States Air
Force or the U.S. Government. The U.S. Government is authorized to reproduce and
distribute reprints for Government purposes notwithstanding any copyright\r\nnotation
herein. The research was also funded in part by the AI2050 program at Schmidt Futures
(Grant G-22-63172) and Capgemini SE."
article_processing_charge: No
author:
- first_name: Mathias
full_name: Lechner, Mathias
id: 3DC22916-F248-11E8-B48F-1D18A9856A87
last_name: Lechner
- first_name: Dorde
full_name: Zikelic, Dorde
id: 294AA7A6-F248-11E8-B48F-1D18A9856A87
last_name: Zikelic
orcid: 0000-0002-4681-1699
- first_name: Krishnendu
full_name: Chatterjee, Krishnendu
id: 2E5DCA20-F248-11E8-B48F-1D18A9856A87
last_name: Chatterjee
orcid: 0000-0002-4561-241X
- first_name: Thomas A
full_name: Henzinger, Thomas A
id: 40876CD8-F248-11E8-B48F-1D18A9856A87
last_name: Henzinger
orcid: 0000-0002-2985-7724
- first_name: Daniela
full_name: Rus, Daniela
last_name: Rus
citation:
ama: 'Lechner M, Zikelic D, Chatterjee K, Henzinger TA, Rus D. Quantization-aware
interval bound propagation for training certifiably robust quantized neural networks.
In: Proceedings of the 37th AAAI Conference on Artificial Intelligence.
Vol 37. Association for the Advancement of Artificial Intelligence; 2023:14964-14973.
doi:10.1609/aaai.v37i12.26747'
apa: 'Lechner, M., Zikelic, D., Chatterjee, K., Henzinger, T. A., & Rus, D.
(2023). Quantization-aware interval bound propagation for training certifiably
robust quantized neural networks. In Proceedings of the 37th AAAI Conference
on Artificial Intelligence (Vol. 37, pp. 14964–14973). Washington, DC, United
States: Association for the Advancement of Artificial Intelligence. https://doi.org/10.1609/aaai.v37i12.26747'
chicago: Lechner, Mathias, Dorde Zikelic, Krishnendu Chatterjee, Thomas A Henzinger,
and Daniela Rus. “Quantization-Aware Interval Bound Propagation for Training Certifiably
Robust Quantized Neural Networks.” In Proceedings of the 37th AAAI Conference
on Artificial Intelligence, 37:14964–73. Association for the Advancement of
Artificial Intelligence, 2023. https://doi.org/10.1609/aaai.v37i12.26747.
ieee: M. Lechner, D. Zikelic, K. Chatterjee, T. A. Henzinger, and D. Rus, “Quantization-aware
interval bound propagation for training certifiably robust quantized neural networks,”
in Proceedings of the 37th AAAI Conference on Artificial Intelligence,
Washington, DC, United States, 2023, vol. 37, no. 12, pp. 14964–14973.
ista: 'Lechner M, Zikelic D, Chatterjee K, Henzinger TA, Rus D. 2023. Quantization-aware
interval bound propagation for training certifiably robust quantized neural networks.
Proceedings of the 37th AAAI Conference on Artificial Intelligence. AAAI: Conference
on Artificial Intelligence vol. 37, 14964–14973.'
mla: Lechner, Mathias, et al. “Quantization-Aware Interval Bound Propagation for
Training Certifiably Robust Quantized Neural Networks.” Proceedings of the
37th AAAI Conference on Artificial Intelligence, vol. 37, no. 12, Association
for the Advancement of Artificial Intelligence, 2023, pp. 14964–73, doi:10.1609/aaai.v37i12.26747.
short: M. Lechner, D. Zikelic, K. Chatterjee, T.A. Henzinger, D. Rus, in:, Proceedings
of the 37th AAAI Conference on Artificial Intelligence, Association for the Advancement
of Artificial Intelligence, 2023, pp. 14964–14973.
conference:
end_date: 2023-02-14
location: Washington, DC, United States
name: 'AAAI: Conference on Artificial Intelligence'
start_date: 2023-02-07
date_created: 2023-08-27T22:01:17Z
date_published: 2023-06-26T00:00:00Z
date_updated: 2023-09-05T07:06:14Z
day: '26'
department:
- _id: ToHe
- _id: KrCh
doi: 10.1609/aaai.v37i12.26747
ec_funded: 1
external_id:
arxiv:
- '2211.16187'
intvolume: ' 37'
issue: '12'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.48550/arXiv.2211.16187
month: '06'
oa: 1
oa_version: Preprint
page: 14964-14973
project:
- _id: 62781420-2b32-11ec-9570-8d9b63373d4d
call_identifier: H2020
grant_number: '101020093'
name: Vigilant Algorithmic Monitoring of Software
- _id: 0599E47C-7A3F-11EA-A408-12923DDC885E
call_identifier: H2020
grant_number: '863818'
name: 'Formal Methods for Stochastic Models: Algorithms and Applications'
- _id: 2564DBCA-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '665385'
name: International IST Doctoral Program
publication: Proceedings of the 37th AAAI Conference on Artificial Intelligence
publication_identifier:
isbn:
- '9781577358800'
publication_status: published
publisher: Association for the Advancement of Artificial Intelligence
quality_controlled: '1'
scopus_import: '1'
status: public
title: Quantization-aware interval bound propagation for training certifiably robust
quantized neural networks
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 37
year: '2023'
...
---
_id: '14243'
abstract:
- lang: eng
text: 'Two-player zero-sum "graph games" are central in logic, verification, and
multi-agent systems. The game proceeds by placing a token on a vertex of a graph,
and allowing the players to move it to produce an infinite path, which determines
the winner or payoff of the game. Traditionally, the players alternate turns in
moving the token. In "bidding games", however, the players have budgets and in
each turn, an auction (bidding) determines which player moves the token. So far,
bidding games have only been studied as full-information games. In this work we
initiate the study of partial-information bidding games: we study bidding games
in which a player''s initial budget is drawn from a known probability distribution.
We show that while for some bidding mechanisms and objectives, it is straightforward
to adapt the results from the full-information setting to the partial-information
setting, for others, the analysis is significantly more challenging, requires
new techniques, and gives rise to interesting results. Specifically, we study
games with "mean-payoff" objectives in combination with "poorman" bidding. We
construct optimal strategies for a partially-informed player who plays against
a fully-informed adversary. We show that, somewhat surprisingly, the "value" under
pure strategies does not necessarily exist in such games.'
acknowledgement: This research was supported in part by ISF grant no.1679/21, by the
ERC CoG 863818 (ForM-SMArt), and the European Union’s Horizon 2020 research and
innovation programme under the Marie Skłodowska-Curie Grant Agreement No. 665385.
article_processing_charge: No
author:
- first_name: Guy
full_name: Avni, Guy
id: 463C8BC2-F248-11E8-B48F-1D18A9856A87
last_name: Avni
orcid: 0000-0001-5588-8287
- first_name: Ismael R
full_name: Jecker, Ismael R
id: 85D7C63E-7D5D-11E9-9C0F-98C4E5697425
last_name: Jecker
- first_name: Dorde
full_name: Zikelic, Dorde
id: 294AA7A6-F248-11E8-B48F-1D18A9856A87
last_name: Zikelic
orcid: 0000-0002-4681-1699
citation:
ama: 'Avni G, Jecker IR, Zikelic D. Bidding graph games with partially-observable
budgets. In: Proceedings of the 37th AAAI Conference on Artificial Intelligence.
Vol 37. ; 2023:5464-5471. doi:10.1609/aaai.v37i5.25679'
apa: Avni, G., Jecker, I. R., & Zikelic, D. (2023). Bidding graph games with
partially-observable budgets. In Proceedings of the 37th AAAI Conference on
Artificial Intelligence (Vol. 37, pp. 5464–5471). Washington, DC, United States.
https://doi.org/10.1609/aaai.v37i5.25679
chicago: Avni, Guy, Ismael R Jecker, and Dorde Zikelic. “Bidding Graph Games with
Partially-Observable Budgets.” In Proceedings of the 37th AAAI Conference on
Artificial Intelligence, 37:5464–71, 2023. https://doi.org/10.1609/aaai.v37i5.25679.
ieee: G. Avni, I. R. Jecker, and D. Zikelic, “Bidding graph games with partially-observable
budgets,” in Proceedings of the 37th AAAI Conference on Artificial Intelligence,
Washington, DC, United States, 2023, vol. 37, no. 5, pp. 5464–5471.
ista: 'Avni G, Jecker IR, Zikelic D. 2023. Bidding graph games with partially-observable
budgets. Proceedings of the 37th AAAI Conference on Artificial Intelligence. AAAI:
Conference on Artificial Intelligence vol. 37, 5464–5471.'
mla: Avni, Guy, et al. “Bidding Graph Games with Partially-Observable Budgets.”
Proceedings of the 37th AAAI Conference on Artificial Intelligence, vol.
37, no. 5, 2023, pp. 5464–71, doi:10.1609/aaai.v37i5.25679.
short: G. Avni, I.R. Jecker, D. Zikelic, in:, Proceedings of the 37th AAAI Conference
on Artificial Intelligence, 2023, pp. 5464–5471.
conference:
end_date: 2023-02-14
location: Washington, DC, United States
name: 'AAAI: Conference on Artificial Intelligence'
start_date: 2023-02-07
date_created: 2023-08-27T22:01:18Z
date_published: 2023-06-27T00:00:00Z
date_updated: 2023-09-05T08:37:00Z
day: '27'
department:
- _id: ToHe
- _id: KrCh
doi: 10.1609/aaai.v37i5.25679
ec_funded: 1
external_id:
arxiv:
- '2211.13626'
intvolume: ' 37'
issue: '5'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.1609/aaai.v37i5.25679
month: '06'
oa: 1
oa_version: Published Version
page: 5464-5471
project:
- _id: 0599E47C-7A3F-11EA-A408-12923DDC885E
call_identifier: H2020
grant_number: '863818'
name: 'Formal Methods for Stochastic Models: Algorithms and Applications'
- _id: 2564DBCA-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '665385'
name: International IST Doctoral Program
publication: Proceedings of the 37th AAAI Conference on Artificial Intelligence
publication_identifier:
isbn:
- '9781577358800'
publication_status: published
quality_controlled: '1'
scopus_import: '1'
status: public
title: Bidding graph games with partially-observable budgets
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 37
year: '2023'
...
---
_id: '14259'
abstract:
- lang: eng
text: "We provide a learning-based technique for guessing a winning strategy in
a parity game originating from an LTL synthesis problem. A cheaply obtained guess
can be useful in several applications. Not only can the guessed strategy be applied
as best-effort in cases where the game’s huge size prohibits rigorous approaches,
but it can also increase the scalability of rigorous LTL synthesis in several
ways. Firstly, checking whether a guessed strategy is winning is easier than constructing
one. Secondly, even if the guess is wrong in some places, it can be fixed by strategy
iteration faster than constructing one from scratch. Thirdly, the guess can be
used in on-the-fly approaches to prioritize exploration in the most fruitful directions.\r\nIn
contrast to previous works, we (i) reflect the highly structured logical information
in game’s states, the so-called semantic labelling, coming from the recent LTL-to-automata
translations, and (ii) learn to reflect it properly by learning from previously
solved games, bringing the solving process closer to human-like reasoning."
acknowledgement: This research was funded in part by the German Research Foundation
(DFG) project 427755713 Group-By Objectives in Probabilistic Verification (GOPro).
alternative_title:
- LNCS
article_processing_charge: Yes (in subscription journal)
author:
- first_name: Jan
full_name: Kretinsky, Jan
id: 44CEF464-F248-11E8-B48F-1D18A9856A87
last_name: Kretinsky
orcid: 0000-0002-8122-2881
- first_name: Tobias
full_name: Meggendorfer, Tobias
id: b21b0c15-30a2-11eb-80dc-f13ca25802e1
last_name: Meggendorfer
orcid: 0000-0002-1712-2165
- first_name: Maximilian
full_name: Prokop, Maximilian
last_name: Prokop
- first_name: Sabine
full_name: Rieder, Sabine
last_name: Rieder
citation:
ama: 'Kretinsky J, Meggendorfer T, Prokop M, Rieder S. Guessing winning policies
in LTL synthesis by semantic learning. In: 35th International Conference on
Computer Aided Verification . Vol 13964. Springer Nature; 2023:390-414. doi:10.1007/978-3-031-37706-8_20'
apa: 'Kretinsky, J., Meggendorfer, T., Prokop, M., & Rieder, S. (2023). Guessing
winning policies in LTL synthesis by semantic learning. In 35th International
Conference on Computer Aided Verification (Vol. 13964, pp. 390–414). Paris,
France: Springer Nature. https://doi.org/10.1007/978-3-031-37706-8_20'
chicago: Kretinsky, Jan, Tobias Meggendorfer, Maximilian Prokop, and Sabine Rieder.
“Guessing Winning Policies in LTL Synthesis by Semantic Learning.” In 35th
International Conference on Computer Aided Verification , 13964:390–414. Springer
Nature, 2023. https://doi.org/10.1007/978-3-031-37706-8_20.
ieee: J. Kretinsky, T. Meggendorfer, M. Prokop, and S. Rieder, “Guessing winning
policies in LTL synthesis by semantic learning,” in 35th International Conference
on Computer Aided Verification , Paris, France, 2023, vol. 13964, pp. 390–414.
ista: 'Kretinsky J, Meggendorfer T, Prokop M, Rieder S. 2023. Guessing winning policies
in LTL synthesis by semantic learning. 35th International Conference on Computer
Aided Verification . CAV: Computer Aided Verification, LNCS, vol. 13964, 390–414.'
mla: Kretinsky, Jan, et al. “Guessing Winning Policies in LTL Synthesis by Semantic
Learning.” 35th International Conference on Computer Aided Verification ,
vol. 13964, Springer Nature, 2023, pp. 390–414, doi:10.1007/978-3-031-37706-8_20.
short: J. Kretinsky, T. Meggendorfer, M. Prokop, S. Rieder, in:, 35th International
Conference on Computer Aided Verification , Springer Nature, 2023, pp. 390–414.
conference:
end_date: 2023-07-22
location: Paris, France
name: 'CAV: Computer Aided Verification'
start_date: 2023-07-17
date_created: 2023-09-03T22:01:16Z
date_published: 2023-07-17T00:00:00Z
date_updated: 2023-09-06T08:27:33Z
day: '17'
ddc:
- '000'
department:
- _id: KrCh
doi: 10.1007/978-3-031-37706-8_20
file:
- access_level: open_access
checksum: ed66278b61bb869e1baba3d9b9081271
content_type: application/pdf
creator: dernst
date_created: 2023-09-06T08:25:50Z
date_updated: 2023-09-06T08:25:50Z
file_id: '14276'
file_name: 2023_LNCS_CAV_Kretinsky.pdf
file_size: 428354
relation: main_file
success: 1
file_date_updated: 2023-09-06T08:25:50Z
has_accepted_license: '1'
intvolume: ' 13964'
language:
- iso: eng
month: '07'
oa: 1
oa_version: Published Version
page: 390-414
publication: '35th International Conference on Computer Aided Verification '
publication_identifier:
eissn:
- 1611-3349
isbn:
- '9783031377051'
issn:
- 0302-9743
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
scopus_import: '1'
status: public
title: Guessing winning policies in LTL synthesis by semantic learning
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 13964
year: '2023'
...
---
_id: '14318'
abstract:
- lang: eng
text: "Probabilistic recurrence relations (PRRs) are a standard formalism for describing
the runtime of a randomized algorithm. Given a PRR and a time limit κ, we consider
the tail probability Pr[T≥κ], i.e., the probability that the randomized runtime
T of the PRR exceeds κ. Our focus is the formal analysis of tail bounds that aims
at finding a tight asymptotic upper bound u≥Pr[T≥κ]. To address this problem,
the classical and most well-known approach is the cookbook method by Karp (JACM
1994), while other approaches are mostly limited to deriving tail bounds of specific
PRRs via involved custom analysis.\r\nIn this work, we propose a novel approach
for deriving the common exponentially-decreasing tail bounds for PRRs whose preprocessing
time and random passed sizes observe discrete or (piecewise) uniform distribution
and whose recursive call is either a single procedure call or a divide-and-conquer.
We first establish a theoretical approach via Markov’s inequality, and then instantiate
the theoretical approach with a template-based algorithmic approach via a refined
treatment of exponentiation. Experimental evaluation shows that our algorithmic
approach is capable of deriving tail bounds that are (i) asymptotically tighter
than Karp’s method, (ii) match the best-known manually-derived asymptotic tail
bound for QuickSelect, and (iii) is only slightly worse (with a loglogn factor)
than the manually-proven optimal asymptotic tail bound for QuickSort. Moreover,
our algorithmic approach handles all examples (including realistic PRRs such as
QuickSort, QuickSelect, DiameterComputation, etc.) in less than 0.1 s, showing
that our approach is efficient in practice."
acknowledgement: We thank Prof. Bican Xia for valuable information on the exponential
theory of reals. The work is partially supported by the National Natural Science
Foundation of China (NSFC) with Grant No. 62172271, ERC CoG 863818 (ForM-SMArt),
the Hong Kong Research Grants Council ECS Project Number 26208122, the HKUST-Kaisa
Joint Research Institute Project Grant HKJRI3A-055 and the HKUST Startup Grant R9272.
alternative_title:
- LNCS
article_processing_charge: Yes (in subscription journal)
author:
- first_name: Yican
full_name: Sun, Yican
last_name: Sun
- first_name: Hongfei
full_name: Fu, Hongfei
last_name: Fu
- first_name: Krishnendu
full_name: Chatterjee, Krishnendu
id: 2E5DCA20-F248-11E8-B48F-1D18A9856A87
last_name: Chatterjee
orcid: 0000-0002-4561-241X
- first_name: Amir Kafshdar
full_name: Goharshady, Amir Kafshdar
id: 391365CE-F248-11E8-B48F-1D18A9856A87
last_name: Goharshady
orcid: 0000-0003-1702-6584
citation:
ama: 'Sun Y, Fu H, Chatterjee K, Goharshady AK. Automated tail bound analysis for probabilistic
recurrence relations. In: Computer Aided Verification. Vol 13966. Springer
Nature; 2023:16-39. doi:10.1007/978-3-031-37709-9_2'
apa: 'Sun, Y., Fu, H., Chatterjee, K., & Goharshady, A. K. (2023). Automated
tail bound analysis for probabilistic recurrence relations. In Computer Aided
Verification (Vol. 13966, pp. 16–39). Paris, France: Springer Nature. https://doi.org/10.1007/978-3-031-37709-9_2'
chicago: Sun, Yican, Hongfei Fu, Krishnendu Chatterjee, and Amir Kafshdar Goharshady.
“Automated Tail Bound Analysis for Probabilistic Recurrence Relations.” In Computer
Aided Verification, 13966:16–39. Springer Nature, 2023. https://doi.org/10.1007/978-3-031-37709-9_2.
ieee: Y. Sun, H. Fu, K. Chatterjee, and A. K. Goharshady, “Automated tail bound
analysis for probabilistic recurrence relations,” in Computer Aided Verification,
Paris, France, 2023, vol. 13966, pp. 16–39.
ista: 'Sun Y, Fu H, Chatterjee K, Goharshady AK. 2023. Automated tail bound analysis
for probabilistic recurrence relations. Computer Aided Verification. CAV: Computer
Aided Verification, LNCS, vol. 13966, 16–39.'
mla: Sun, Yican, et al. “Automated Tail Bound Analysis for Probabilistic Recurrence
Relations.” Computer Aided Verification, vol. 13966, Springer Nature, 2023,
pp. 16–39, doi:10.1007/978-3-031-37709-9_2.
short: Y. Sun, H. Fu, K. Chatterjee, A.K. Goharshady, in:, Computer Aided Verification,
Springer Nature, 2023, pp. 16–39.
conference:
end_date: 2023-07-22
location: Paris, France
name: 'CAV: Computer Aided Verification'
start_date: 2023-07-17
date_created: 2023-09-10T22:01:12Z
date_published: 2023-07-17T00:00:00Z
date_updated: 2023-09-20T08:25:57Z
day: '17'
ddc:
- '000'
department:
- _id: KrCh
doi: 10.1007/978-3-031-37709-9_2
ec_funded: 1
file:
- access_level: open_access
checksum: 42917e086f8c7699f3bccf84f74fe000
content_type: application/pdf
creator: dernst
date_created: 2023-09-20T08:24:47Z
date_updated: 2023-09-20T08:24:47Z
file_id: '14348'
file_name: 2023_LNCS_Sun.pdf
file_size: 624647
relation: main_file
success: 1
file_date_updated: 2023-09-20T08:24:47Z
has_accepted_license: '1'
intvolume: ' 13966'
language:
- iso: eng
month: '07'
oa: 1
oa_version: Published Version
page: 16-39
project:
- _id: 0599E47C-7A3F-11EA-A408-12923DDC885E
call_identifier: H2020
grant_number: '863818'
name: 'Formal Methods for Stochastic Models: Algorithms and Applications'
publication: Computer Aided Verification
publication_identifier:
eissn:
- 1611-3349
isbn:
- '9783031377082'
issn:
- 0302-9743
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
related_material:
link:
- relation: software
url: https://github.com/boyvolcano/PRR
scopus_import: '1'
status: public
title: Automated tail bound analysis for probabilistic recurrence relations
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 13966
year: '2023'
...
---
_id: '14317'
abstract:
- lang: eng
text: "Markov decision processes can be viewed as transformers of probability distributions.
While this view is useful from a practical standpoint to reason about trajectories
of distributions, basic reachability and safety problems are known to be computationally
intractable (i.e., Skolem-hard) to solve in such models. Further, we show that
even for simple examples of MDPs, strategies for safety objectives over distributions
can require infinite memory and randomization.\r\nIn light of this, we present
a novel overapproximation approach to synthesize strategies in an MDP, such that
a safety objective over the distributions is met. More precisely, we develop a
new framework for template-based synthesis of certificates as affine distributional
and inductive invariants for safety objectives in MDPs. We provide two algorithms
within this framework. One can only synthesize memoryless strategies, but has
relative completeness guarantees, while the other can synthesize general strategies.
The runtime complexity of both algorithms is in PSPACE. We implement these algorithms
and show that they can solve several non-trivial examples."
acknowledgement: This work was supported in part by the ERC CoG 863818 (FoRM-SMArt)
and the European Union’s Horizon 2020 research and innovation programme under the
Marie Skłodowska-Curie Grant Agreement No. 665385 as well as DST/CEFIPRA/INRIA project
EQuaVE and SERB Matrices grant MTR/2018/00074.
alternative_title:
- LNCS
article_processing_charge: Yes (in subscription journal)
author:
- first_name: S.
full_name: Akshay, S.
last_name: Akshay
- first_name: Krishnendu
full_name: Chatterjee, Krishnendu
id: 2E5DCA20-F248-11E8-B48F-1D18A9856A87
last_name: Chatterjee
orcid: 0000-0002-4561-241X
- first_name: Tobias
full_name: Meggendorfer, Tobias
id: b21b0c15-30a2-11eb-80dc-f13ca25802e1
last_name: Meggendorfer
orcid: 0000-0002-1712-2165
- first_name: Dorde
full_name: Zikelic, Dorde
id: 294AA7A6-F248-11E8-B48F-1D18A9856A87
last_name: Zikelic
orcid: 0000-0002-4681-1699
citation:
ama: 'Akshay S, Chatterjee K, Meggendorfer T, Zikelic D. MDPs as distribution transformers:
Affine invariant synthesis for safety objectives. In: International Conference
on Computer Aided Verification. Vol 13966. Springer Nature; 2023:86-112. doi:10.1007/978-3-031-37709-9_5'
apa: 'Akshay, S., Chatterjee, K., Meggendorfer, T., & Zikelic, D. (2023). MDPs
as distribution transformers: Affine invariant synthesis for safety objectives.
In International Conference on Computer Aided Verification (Vol. 13966,
pp. 86–112). Paris, France: Springer Nature. https://doi.org/10.1007/978-3-031-37709-9_5'
chicago: 'Akshay, S., Krishnendu Chatterjee, Tobias Meggendorfer, and Dorde Zikelic.
“MDPs as Distribution Transformers: Affine Invariant Synthesis for Safety Objectives.”
In International Conference on Computer Aided Verification, 13966:86–112.
Springer Nature, 2023. https://doi.org/10.1007/978-3-031-37709-9_5.'
ieee: 'S. Akshay, K. Chatterjee, T. Meggendorfer, and D. Zikelic, “MDPs as distribution
transformers: Affine invariant synthesis for safety objectives,” in International
Conference on Computer Aided Verification, Paris, France, 2023, vol. 13966,
pp. 86–112.'
ista: 'Akshay S, Chatterjee K, Meggendorfer T, Zikelic D. 2023. MDPs as distribution
transformers: Affine invariant synthesis for safety objectives. International
Conference on Computer Aided Verification. CAV: Computer Aided Verification, LNCS,
vol. 13966, 86–112.'
mla: 'Akshay, S., et al. “MDPs as Distribution Transformers: Affine Invariant Synthesis
for Safety Objectives.” International Conference on Computer Aided Verification,
vol. 13966, Springer Nature, 2023, pp. 86–112, doi:10.1007/978-3-031-37709-9_5.'
short: S. Akshay, K. Chatterjee, T. Meggendorfer, D. Zikelic, in:, International
Conference on Computer Aided Verification, Springer Nature, 2023, pp. 86–112.
conference:
end_date: 2023-07-22
location: Paris, France
name: 'CAV: Computer Aided Verification'
start_date: 2023-07-17
date_created: 2023-09-10T22:01:12Z
date_published: 2023-07-17T00:00:00Z
date_updated: 2023-09-20T09:04:40Z
day: '17'
ddc:
- '000'
department:
- _id: KrCh
doi: 10.1007/978-3-031-37709-9_5
ec_funded: 1
file:
- access_level: open_access
checksum: f143c8eedf609f20f2aad2eeb496d53f
content_type: application/pdf
creator: dernst
date_created: 2023-09-20T08:46:43Z
date_updated: 2023-09-20T08:46:43Z
file_id: '14349'
file_name: 2023_LNCS_Akshay.pdf
file_size: 531745
relation: main_file
success: 1
file_date_updated: 2023-09-20T08:46:43Z
has_accepted_license: '1'
intvolume: ' 13966'
language:
- iso: eng
month: '07'
oa: 1
oa_version: Published Version
page: 86-112
project:
- _id: 2564DBCA-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '665385'
name: International IST Doctoral Program
- _id: 0599E47C-7A3F-11EA-A408-12923DDC885E
call_identifier: H2020
grant_number: '863818'
name: 'Formal Methods for Stochastic Models: Algorithms and Applications'
publication: International Conference on Computer Aided Verification
publication_identifier:
eissn:
- 1611-3349
isbn:
- '9783031377082'
issn:
- 0302-9743
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
scopus_import: '1'
status: public
title: 'MDPs as distribution transformers: Affine invariant synthesis for safety objectives'
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 13966
year: '2023'
...
---
_id: '12738'
abstract:
- lang: eng
text: We study turn-based stochastic zero-sum games with lexicographic preferences
over objectives. Stochastic games are standard models in control, verification,
and synthesis of stochastic reactive systems that exhibit both randomness as well
as controllable and adversarial non-determinism. Lexicographic order allows one
to consider multiple objectives with a strict preference order. To the best of
our knowledge, stochastic games with lexicographic objectives have not been studied
before. For a mixture of reachability and safety objectives, we show that deterministic
lexicographically optimal strategies exist and memory is only required to remember
the already satisfied and violated objectives. For a constant number of objectives,
we show that the relevant decision problem is in NP∩coNP, matching the current
known bound for single objectives; and in general the decision problem is PSPACE-hard
and can be solved in NEXPTIME∩coNEXPTIME. We present an algorithm that computes
the lexicographically optimal strategies via a reduction to the computation of
optimal strategies in a sequence of single-objectives games. For omega-regular
objectives, we restrict our analysis to one-player games, also known as Markov
decision processes. We show that lexicographically optimal strategies exist and
need either randomization or finite memory. We present an algorithm that solves
the relevant decision problem in polynomial time. We have implemented our algorithms
and report experimental results on various case studies.
acknowledgement: Tobias Winkler and Joost-Pieter Katoen are supported by the DFG RTG
2236 UnRAVeL and the innovation programme under the Marie Skłodowska-Curie grant
agreement No. 101008233 (Mission). Krishnendu Chatterjee is supported by the ERC
CoG 863818 (ForM-SMArt) and the Vienna Science and Technology Fund (WWTF) Project
ICT15-003. Maximilian Weininger is supported by the DFG projects 383882557 Statistical
Unbounded Verification (SUV) and 427755713 Group-By Objectives in Probabilistic
Verification (GOPro). Stefanie Mohr is supported by the DFG RTG 2428 CONVEY. Open
Access funding enabled and organized by Projekt DEAL.
article_processing_charge: No
article_type: original
author:
- first_name: Krishnendu
full_name: Chatterjee, Krishnendu
id: 2E5DCA20-F248-11E8-B48F-1D18A9856A87
last_name: Chatterjee
orcid: 0000-0002-4561-241X
- first_name: Joost P
full_name: Katoen, Joost P
id: 4524F760-F248-11E8-B48F-1D18A9856A87
last_name: Katoen
- first_name: Stefanie
full_name: Mohr, Stefanie
last_name: Mohr
- first_name: Maximilian
full_name: Weininger, Maximilian
last_name: Weininger
- first_name: Tobias
full_name: Winkler, Tobias
last_name: Winkler
citation:
ama: Chatterjee K, Katoen JP, Mohr S, Weininger M, Winkler T. Stochastic games with
lexicographic objectives. Formal Methods in System Design. 2023. doi:10.1007/s10703-023-00411-4
apa: Chatterjee, K., Katoen, J. P., Mohr, S., Weininger, M., & Winkler, T. (2023).
Stochastic games with lexicographic objectives. Formal Methods in System Design.
Springer Nature. https://doi.org/10.1007/s10703-023-00411-4
chicago: Chatterjee, Krishnendu, Joost P Katoen, Stefanie Mohr, Maximilian Weininger,
and Tobias Winkler. “Stochastic Games with Lexicographic Objectives.” Formal
Methods in System Design. Springer Nature, 2023. https://doi.org/10.1007/s10703-023-00411-4.
ieee: K. Chatterjee, J. P. Katoen, S. Mohr, M. Weininger, and T. Winkler, “Stochastic
games with lexicographic objectives,” Formal Methods in System Design.
Springer Nature, 2023.
ista: Chatterjee K, Katoen JP, Mohr S, Weininger M, Winkler T. 2023. Stochastic
games with lexicographic objectives. Formal Methods in System Design.
mla: Chatterjee, Krishnendu, et al. “Stochastic Games with Lexicographic Objectives.”
Formal Methods in System Design, Springer Nature, 2023, doi:10.1007/s10703-023-00411-4.
short: K. Chatterjee, J.P. Katoen, S. Mohr, M. Weininger, T. Winkler, Formal Methods
in System Design (2023).
date_created: 2023-03-19T23:00:59Z
date_published: 2023-03-08T00:00:00Z
date_updated: 2023-10-03T11:36:13Z
day: '08'
ddc:
- '000'
department:
- _id: KrCh
doi: 10.1007/s10703-023-00411-4
ec_funded: 1
external_id:
isi:
- '000946174300001'
isi: 1
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.1007/s10703-023-00411-4
month: '03'
oa: 1
oa_version: Published Version
project:
- _id: 0599E47C-7A3F-11EA-A408-12923DDC885E
call_identifier: H2020
grant_number: '863818'
name: 'Formal Methods for Stochastic Models: Algorithms and Applications'
- _id: 25892FC0-B435-11E9-9278-68D0E5697425
grant_number: ICT15-003
name: Efficient Algorithms for Computer Aided Verification
publication: Formal Methods in System Design
publication_identifier:
eissn:
- 1572-8102
publication_status: epub_ahead
publisher: Springer Nature
quality_controlled: '1'
related_material:
record:
- id: '8272'
relation: earlier_version
status: public
scopus_import: '1'
status: public
title: Stochastic games with lexicographic objectives
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2023'
...
---
_id: '10770'
abstract:
- lang: eng
text: Mathematical models often aim to describe a complicated mechanism in a cohesive
and simple manner. However, reaching perfect balance between being simple enough
or overly simplistic is a challenging task. Frequently, game-theoretic models
have an underlying assumption that players, whenever they choose to execute a
specific action, do so perfectly. In fact, it is rare that action execution perfectly
coincides with intentions of individuals, giving rise to behavioural mistakes.
The concept of incompetence of players was suggested to address this issue in
game-theoretic settings. Under the assumption of incompetence, players have non-zero
probabilities of executing a different strategy from the one they chose, leading
to stochastic outcomes of the interactions. In this article, we survey results
related to the concept of incompetence in classic as well as evolutionary game
theory and provide several new results. We also suggest future extensions of the
model and argue why it is important to take into account behavioural mistakes
when analysing interactions among players in both economic and biological settings.
acknowledgement: "The authors would like to acknowledge stimulating email discussions
with Dr Wayne Lobb of W.A. Lobb LLC on the topic of evolutionary games. We also
thank Dr Thomas Taimre for his input to the material in Sect. 3.\r\nThe authors
would like to acknowledge partial support from the Australian Research Council under
the Discovery grant DP180101602 and support by the European Union’s Horizon 2020
research and innovation program under the Marie Sklodowska-Curie Grant Agreement
#754411."
article_processing_charge: No
article_type: original
author:
- first_name: Thomas
full_name: Graham, Thomas
last_name: Graham
- first_name: Maria
full_name: Kleshnina, Maria
id: 4E21749C-F248-11E8-B48F-1D18A9856A87
last_name: Kleshnina
- first_name: Jerzy A.
full_name: Filar, Jerzy A.
last_name: Filar
citation:
ama: Graham T, Kleshnina M, Filar JA. Where do mistakes lead? A survey of games
with incompetent players. Dynamic Games and Applications. 2023;13:231-264.
doi:10.1007/s13235-022-00425-3
apa: Graham, T., Kleshnina, M., & Filar, J. A. (2023). Where do mistakes lead?
A survey of games with incompetent players. Dynamic Games and Applications.
Springer Nature. https://doi.org/10.1007/s13235-022-00425-3
chicago: Graham, Thomas, Maria Kleshnina, and Jerzy A. Filar. “Where Do Mistakes
Lead? A Survey of Games with Incompetent Players.” Dynamic Games and Applications.
Springer Nature, 2023. https://doi.org/10.1007/s13235-022-00425-3.
ieee: T. Graham, M. Kleshnina, and J. A. Filar, “Where do mistakes lead? A survey
of games with incompetent players,” Dynamic Games and Applications, vol.
13. Springer Nature, pp. 231–264, 2023.
ista: Graham T, Kleshnina M, Filar JA. 2023. Where do mistakes lead? A survey of
games with incompetent players. Dynamic Games and Applications. 13, 231–264.
mla: Graham, Thomas, et al. “Where Do Mistakes Lead? A Survey of Games with Incompetent
Players.” Dynamic Games and Applications, vol. 13, Springer Nature, 2023,
pp. 231–64, doi:10.1007/s13235-022-00425-3.
short: T. Graham, M. Kleshnina, J.A. Filar, Dynamic Games and Applications 13 (2023)
231–264.
date_created: 2022-02-20T23:01:32Z
date_published: 2023-03-01T00:00:00Z
date_updated: 2023-10-04T09:24:30Z
day: '01'
ddc:
- '000'
department:
- _id: KrCh
doi: 10.1007/s13235-022-00425-3
ec_funded: 1
external_id:
isi:
- '000753777100001'
file:
- access_level: open_access
checksum: cd53b07e96f9030ddb348f305e5b58c7
content_type: application/pdf
creator: dernst
date_created: 2022-02-21T08:54:17Z
date_updated: 2022-02-21T08:54:17Z
file_id: '10781'
file_name: 2022_DynamicGamesApplic_Graham.pdf
file_size: 1890512
relation: main_file
success: 1
file_date_updated: 2022-02-21T08:54:17Z
has_accepted_license: '1'
intvolume: ' 13'
isi: 1
language:
- iso: eng
month: '03'
oa: 1
oa_version: Published Version
page: 231-264
project:
- _id: 260C2330-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '754411'
name: ISTplus - Postdoctoral Fellowships
publication: Dynamic Games and Applications
publication_identifier:
eissn:
- 2153-0793
issn:
- 2153-0785
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
scopus_import: '1'
status: public
title: Where do mistakes lead? A survey of games with incompetent players
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 13
year: '2023'
...
---
_id: '14417'
abstract:
- lang: eng
text: Entropic risk (ERisk) is an established risk measure in finance, quantifying
risk by an exponential re-weighting of rewards. We study ERisk for the first time
in the context of turn-based stochastic games with the total reward objective.
This gives rise to an objective function that demands the control of systems in
a risk-averse manner. We show that the resulting games are determined and, in
particular, admit optimal memoryless deterministic strategies. This contrasts
risk measures that previously have been considered in the special case of Markov
decision processes and that require randomization and/or memory. We provide several
results on the decidability and the computational complexity of the threshold
problem, i.e. whether the optimal value of ERisk exceeds a given threshold. In
the most general case, the problem is decidable subject to Shanuel’s conjecture.
If all inputs are rational, the resulting threshold problem can be solved using
algebraic numbers, leading to decidability via a polynomial-time reduction to
the existential theory of the reals. Further restrictions on the encoding of the
input allow the solution of the threshold problem in NP∩coNP. Finally, an approximation
algorithm for the optimal value of ERisk is provided.
acknowledgement: "This work was partly funded by the ERC CoG 863818 (ForM-SMArt),
the DFG Grant\r\n389792660 as part of TRR 248 (Foundations of Perspicuous Software
Systems), the Cluster of\r\nExcellence EXC 2050/1 (CeTI, project ID 390696704, as
part of Germany’s Excellence Strategy), and the DFG projects BA-1679/11-1 and BA-1679/12-1."
alternative_title:
- LIPIcs
article_number: '15'
article_processing_charge: Yes
author:
- first_name: Christel
full_name: Baier, Christel
last_name: Baier
- first_name: Krishnendu
full_name: Chatterjee, Krishnendu
id: 2E5DCA20-F248-11E8-B48F-1D18A9856A87
last_name: Chatterjee
orcid: 0000-0002-4561-241X
- first_name: Tobias
full_name: Meggendorfer, Tobias
id: b21b0c15-30a2-11eb-80dc-f13ca25802e1
last_name: Meggendorfer
orcid: 0000-0002-1712-2165
- first_name: Jakob
full_name: Piribauer, Jakob
last_name: Piribauer
citation:
ama: 'Baier C, Chatterjee K, Meggendorfer T, Piribauer J. Entropic risk for turn-based
stochastic games. In: 48th International Symposium on Mathematical Foundations
of Computer Science. Vol 272. Schloss Dagstuhl - Leibniz-Zentrum für Informatik;
2023. doi:10.4230/LIPIcs.MFCS.2023.15'
apa: 'Baier, C., Chatterjee, K., Meggendorfer, T., & Piribauer, J. (2023). Entropic
risk for turn-based stochastic games. In 48th International Symposium on Mathematical
Foundations of Computer Science (Vol. 272). Bordeaux, France: Schloss Dagstuhl
- Leibniz-Zentrum für Informatik. https://doi.org/10.4230/LIPIcs.MFCS.2023.15'
chicago: Baier, Christel, Krishnendu Chatterjee, Tobias Meggendorfer, and Jakob
Piribauer. “Entropic Risk for Turn-Based Stochastic Games.” In 48th International
Symposium on Mathematical Foundations of Computer Science, Vol. 272. Schloss
Dagstuhl - Leibniz-Zentrum für Informatik, 2023. https://doi.org/10.4230/LIPIcs.MFCS.2023.15.
ieee: C. Baier, K. Chatterjee, T. Meggendorfer, and J. Piribauer, “Entropic risk
for turn-based stochastic games,” in 48th International Symposium on Mathematical
Foundations of Computer Science, Bordeaux, France, 2023, vol. 272.
ista: 'Baier C, Chatterjee K, Meggendorfer T, Piribauer J. 2023. Entropic risk for
turn-based stochastic games. 48th International Symposium on Mathematical Foundations
of Computer Science. MFCS: Symposium on Mathematical Foundations of Computer Science,
LIPIcs, vol. 272, 15.'
mla: Baier, Christel, et al. “Entropic Risk for Turn-Based Stochastic Games.” 48th
International Symposium on Mathematical Foundations of Computer Science, vol.
272, 15, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2023, doi:10.4230/LIPIcs.MFCS.2023.15.
short: C. Baier, K. Chatterjee, T. Meggendorfer, J. Piribauer, in:, 48th International
Symposium on Mathematical Foundations of Computer Science, Schloss Dagstuhl -
Leibniz-Zentrum für Informatik, 2023.
conference:
end_date: 2023-09-01
location: Bordeaux, France
name: 'MFCS: Symposium on Mathematical Foundations of Computer Science'
start_date: 2023-08-28
date_created: 2023-10-09T09:21:05Z
date_published: 2023-08-21T00:00:00Z
date_updated: 2023-10-09T09:22:37Z
day: '21'
ddc:
- '000'
department:
- _id: KrCh
doi: 10.4230/LIPIcs.MFCS.2023.15
ec_funded: 1
external_id:
arxiv:
- '2307.06611'
file:
- access_level: open_access
checksum: 402281b17ed669bbf149d0fdf68ac201
content_type: application/pdf
creator: dernst
date_created: 2023-10-09T09:19:11Z
date_updated: 2023-10-09T09:19:11Z
file_id: '14418'
file_name: 2023_LIPIcsMFCS_Baier.pdf
file_size: 826843
relation: main_file
success: 1
file_date_updated: 2023-10-09T09:19:11Z
has_accepted_license: '1'
intvolume: ' 272'
language:
- iso: eng
month: '08'
oa: 1
oa_version: Published Version
project:
- _id: 0599E47C-7A3F-11EA-A408-12923DDC885E
call_identifier: H2020
grant_number: '863818'
name: 'Formal Methods for Stochastic Models: Algorithms and Applications'
publication: 48th International Symposium on Mathematical Foundations of Computer
Science
publication_identifier:
eissn:
- 1868-8969
isbn:
- '9783959772921'
publication_status: published
publisher: Schloss Dagstuhl - Leibniz-Zentrum für Informatik
quality_controlled: '1'
scopus_import: '1'
status: public
title: Entropic risk for turn-based stochastic games
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 272
year: '2023'
...
---
_id: '12706'
abstract:
- lang: eng
text: Allometric settings of population dynamics models are appealing due to their
parsimonious nature and broad utility when studying system level effects. Here,
we parameterise the size-scaled Rosenzweig-MacArthur differential equations to
eliminate prey-mass dependency, facilitating an in depth analytic study of the
equations which incorporates scaling parameters’ contributions to coexistence.
We define the functional response term to match empirical findings, and examine
situations where metabolic theory derivations and observation diverge. The dynamical
properties of the Rosenzweig-MacArthur system, encompassing the distribution of
size-abundance equilibria, the scaling of period and amplitude of population cycling,
and relationships between predator and prey abundances, are consistent with empirical
observation. Our parameterisation is an accurate minimal model across 15+ orders
of mass magnitude.
acknowledgement: "This research was supported by an Australian Government Research
Training Program\r\n(RTP) Scholarship to JCM (https://www.dese.gov.au), and LB is
supported by the Centre de\r\nrecherche sur le vieillissement Fellowship Program.
The funders had no role in study design, data collection and analysis, decision
to publish, or preparation of the manuscript."
article_processing_charge: No
article_type: original
author:
- first_name: Jody C.
full_name: Mckerral, Jody C.
last_name: Mckerral
- first_name: Maria
full_name: Kleshnina, Maria
id: 4E21749C-F248-11E8-B48F-1D18A9856A87
last_name: Kleshnina
- first_name: Vladimir
full_name: Ejov, Vladimir
last_name: Ejov
- first_name: Louise
full_name: Bartle, Louise
last_name: Bartle
- first_name: James G.
full_name: Mitchell, James G.
last_name: Mitchell
- first_name: Jerzy A.
full_name: Filar, Jerzy A.
last_name: Filar
citation:
ama: Mckerral JC, Kleshnina M, Ejov V, Bartle L, Mitchell JG, Filar JA. Empirical
parameterisation and dynamical analysis of the allometric Rosenzweig-MacArthur
equations. PLoS One. 2023;18(2):e0279838. doi:10.1371/journal.pone.0279838
apa: Mckerral, J. C., Kleshnina, M., Ejov, V., Bartle, L., Mitchell, J. G., &
Filar, J. A. (2023). Empirical parameterisation and dynamical analysis of the
allometric Rosenzweig-MacArthur equations. PLoS One. Public Library of
Science. https://doi.org/10.1371/journal.pone.0279838
chicago: Mckerral, Jody C., Maria Kleshnina, Vladimir Ejov, Louise Bartle, James
G. Mitchell, and Jerzy A. Filar. “Empirical Parameterisation and Dynamical Analysis
of the Allometric Rosenzweig-MacArthur Equations.” PLoS One. Public Library
of Science, 2023. https://doi.org/10.1371/journal.pone.0279838.
ieee: J. C. Mckerral, M. Kleshnina, V. Ejov, L. Bartle, J. G. Mitchell, and J. A.
Filar, “Empirical parameterisation and dynamical analysis of the allometric Rosenzweig-MacArthur
equations,” PLoS One, vol. 18, no. 2. Public Library of Science, p. e0279838,
2023.
ista: Mckerral JC, Kleshnina M, Ejov V, Bartle L, Mitchell JG, Filar JA. 2023. Empirical
parameterisation and dynamical analysis of the allometric Rosenzweig-MacArthur
equations. PLoS One. 18(2), e0279838.
mla: Mckerral, Jody C., et al. “Empirical Parameterisation and Dynamical Analysis
of the Allometric Rosenzweig-MacArthur Equations.” PLoS One, vol. 18, no.
2, Public Library of Science, 2023, p. e0279838, doi:10.1371/journal.pone.0279838.
short: J.C. Mckerral, M. Kleshnina, V. Ejov, L. Bartle, J.G. Mitchell, J.A. Filar,
PLoS One 18 (2023) e0279838.
date_created: 2023-03-05T23:01:05Z
date_published: 2023-02-27T00:00:00Z
date_updated: 2023-10-17T12:53:30Z
day: '27'
ddc:
- '000'
department:
- _id: KrCh
doi: 10.1371/journal.pone.0279838
external_id:
isi:
- '000996122900022'
pmid:
- '36848357'
file:
- access_level: open_access
checksum: 798ed5739a4117b03173e5d56e0534c9
content_type: application/pdf
creator: cchlebak
date_created: 2023-03-07T10:26:45Z
date_updated: 2023-03-07T10:26:45Z
file_id: '12712'
file_name: 2023_PLOSOne_Mckerral.pdf
file_size: 1257003
relation: main_file
success: 1
file_date_updated: 2023-03-07T10:26:45Z
has_accepted_license: '1'
intvolume: ' 18'
isi: 1
issue: '2'
language:
- iso: eng
month: '02'
oa: 1
oa_version: Published Version
page: e0279838
pmid: 1
publication: PLoS One
publication_identifier:
eissn:
- 1932-6203
publication_status: published
publisher: Public Library of Science
quality_controlled: '1'
scopus_import: '1'
status: public
title: Empirical parameterisation and dynamical analysis of the allometric Rosenzweig-MacArthur
equations
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 18
year: '2023'
...
---
_id: '14518'
abstract:
- lang: eng
text: We consider bidding games, a class of two-player zero-sum graph games. The
game proceeds as follows. Both players have bounded budgets. A token is placed
on a vertex of a graph, in each turn the players simultaneously submit bids, and
the higher bidder moves the token, where we break bidding ties in favor of Player
1. Player 1 wins the game iff the token visits a designated target vertex. We
consider, for the first time, poorman discrete-bidding in which the granularity
of the bids is restricted and the higher bid is paid to the bank. Previous work
either did not impose granularity restrictions or considered Richman bidding (bids
are paid to the opponent). While the latter mechanisms are technically more accessible,
the former is more appealing from a practical standpoint. Our study focuses on
threshold budgets, which is the necessary and sufficient initial budget required
for Player 1 to ensure winning against a given Player 2 budget. We first show
existence of thresholds. In DAGs, we show that threshold budgets can be approximated
with error bounds by thresholds under continuous-bidding and that they exhibit
a periodic behavior. We identify closed-form solutions in special cases. We implement
and experiment with an algorithm to find threshold budgets.
acknowledgement: This research was supported in part by ISF grant no. 1679/21, ERC
CoG 863818 (FoRM-SMArt) and the European Union’s Horizon 2020 research and innovation
programme under the Marie SkłodowskaCurie Grant Agreement No. 665385.
article_processing_charge: No
author:
- first_name: Guy
full_name: Avni, Guy
id: 463C8BC2-F248-11E8-B48F-1D18A9856A87
last_name: Avni
orcid: 0000-0001-5588-8287
- first_name: Tobias
full_name: Meggendorfer, Tobias
id: b21b0c15-30a2-11eb-80dc-f13ca25802e1
last_name: Meggendorfer
orcid: 0000-0002-1712-2165
- first_name: Suman
full_name: Sadhukhan, Suman
last_name: Sadhukhan
- first_name: Josef
full_name: Tkadlec, Josef
id: 3F24CCC8-F248-11E8-B48F-1D18A9856A87
last_name: Tkadlec
orcid: 0000-0002-1097-9684
- first_name: Dorde
full_name: Zikelic, Dorde
id: 294AA7A6-F248-11E8-B48F-1D18A9856A87
last_name: Zikelic
orcid: 0000-0002-4681-1699
citation:
ama: 'Avni G, Meggendorfer T, Sadhukhan S, Tkadlec J, Zikelic D. Reachability poorman
discrete-bidding games. In: Frontiers in Artificial Intelligence and Applications.
Vol 372. IOS Press; 2023:141-148. doi:10.3233/FAIA230264'
apa: 'Avni, G., Meggendorfer, T., Sadhukhan, S., Tkadlec, J., & Zikelic, D.
(2023). Reachability poorman discrete-bidding games. In Frontiers in Artificial
Intelligence and Applications (Vol. 372, pp. 141–148). Krakow, Poland: IOS
Press. https://doi.org/10.3233/FAIA230264'
chicago: Avni, Guy, Tobias Meggendorfer, Suman Sadhukhan, Josef Tkadlec, and Dorde
Zikelic. “Reachability Poorman Discrete-Bidding Games.” In Frontiers in Artificial
Intelligence and Applications, 372:141–48. IOS Press, 2023. https://doi.org/10.3233/FAIA230264.
ieee: G. Avni, T. Meggendorfer, S. Sadhukhan, J. Tkadlec, and D. Zikelic, “Reachability
poorman discrete-bidding games,” in Frontiers in Artificial Intelligence and
Applications, Krakow, Poland, 2023, vol. 372, pp. 141–148.
ista: 'Avni G, Meggendorfer T, Sadhukhan S, Tkadlec J, Zikelic D. 2023. Reachability
poorman discrete-bidding games. Frontiers in Artificial Intelligence and Applications.
ECAI: European Conference on Artificial Intelligence vol. 372, 141–148.'
mla: Avni, Guy, et al. “Reachability Poorman Discrete-Bidding Games.” Frontiers
in Artificial Intelligence and Applications, vol. 372, IOS Press, 2023, pp.
141–48, doi:10.3233/FAIA230264.
short: G. Avni, T. Meggendorfer, S. Sadhukhan, J. Tkadlec, D. Zikelic, in:, Frontiers
in Artificial Intelligence and Applications, IOS Press, 2023, pp. 141–148.
conference:
end_date: 2023-10-04
location: Krakow, Poland
name: 'ECAI: European Conference on Artificial Intelligence'
start_date: 2023-09-30
date_created: 2023-11-12T23:00:56Z
date_published: 2023-09-28T00:00:00Z
date_updated: 2023-11-13T10:18:45Z
day: '28'
ddc:
- '000'
department:
- _id: ToHe
- _id: KrCh
doi: 10.3233/FAIA230264
ec_funded: 1
external_id:
arxiv:
- '2307.15218'
file:
- access_level: open_access
checksum: 1390ca38480fa4cf286b0f1a42e8c12f
content_type: application/pdf
creator: dernst
date_created: 2023-11-13T10:16:10Z
date_updated: 2023-11-13T10:16:10Z
file_id: '14529'
file_name: 2023_FAIA_Avni.pdf
file_size: 501011
relation: main_file
success: 1
file_date_updated: 2023-11-13T10:16:10Z
has_accepted_license: '1'
intvolume: ' 372'
language:
- iso: eng
license: https://creativecommons.org/licenses/by-nc/4.0/
month: '09'
oa: 1
oa_version: Published Version
page: 141-148
project:
- _id: 2564DBCA-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '665385'
name: International IST Doctoral Program
- _id: 0599E47C-7A3F-11EA-A408-12923DDC885E
call_identifier: H2020
grant_number: '863818'
name: 'Formal Methods for Stochastic Models: Algorithms and Applications'
publication: Frontiers in Artificial Intelligence and Applications
publication_identifier:
isbn:
- '9781643684369'
issn:
- 0922-6389
publication_status: published
publisher: IOS Press
quality_controlled: '1'
scopus_import: '1'
status: public
title: Reachability poorman discrete-bidding games
tmp:
image: /images/cc_by_nc.png
legal_code_url: https://creativecommons.org/licenses/by-nc/4.0/legalcode
name: Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)
short: CC BY-NC (4.0)
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 372
year: '2023'
...
---
_id: '14559'
abstract:
- lang: eng
text: We consider the problem of learning control policies in discrete-time stochastic
systems which guarantee that the system stabilizes within some specified stabilization
region with probability 1. Our approach is based on the novel notion of stabilizing
ranking supermartingales (sRSMs) that we introduce in this work. Our sRSMs overcome
the limitation of methods proposed in previous works whose applicability is restricted
to systems in which the stabilizing region cannot be left once entered under any
control policy. We present a learning procedure that learns a control policy together
with an sRSM that formally certifies probability 1 stability, both learned as
neural networks. We show that this procedure can also be adapted to formally verifying
that, under a given Lipschitz continuous control policy, the stochastic system
stabilizes within some stabilizing region with probability 1. Our experimental
evaluation shows that our learning procedure can successfully learn provably stabilizing
policies in practice.
acknowledgement: This work was supported in part by the ERC-2020-AdG 101020093, ERC
CoG 863818 (FoRM-SMArt) and the European Union’s Horizon 2020 research and innovation
programme under the Marie Skłodowska-Curie Grant Agreement No. 665385.
alternative_title:
- LNCS
article_processing_charge: No
author:
- first_name: Matin
full_name: Ansaripour, Matin
last_name: Ansaripour
- first_name: Krishnendu
full_name: Chatterjee, Krishnendu
id: 2E5DCA20-F248-11E8-B48F-1D18A9856A87
last_name: Chatterjee
orcid: 0000-0002-4561-241X
- first_name: Thomas A
full_name: Henzinger, Thomas A
id: 40876CD8-F248-11E8-B48F-1D18A9856A87
last_name: Henzinger
orcid: 0000-0002-2985-7724
- first_name: Mathias
full_name: Lechner, Mathias
id: 3DC22916-F248-11E8-B48F-1D18A9856A87
last_name: Lechner
- first_name: Dorde
full_name: Zikelic, Dorde
id: 294AA7A6-F248-11E8-B48F-1D18A9856A87
last_name: Zikelic
orcid: 0000-0002-4681-1699
citation:
ama: 'Ansaripour M, Chatterjee K, Henzinger TA, Lechner M, Zikelic D. Learning provably
stabilizing neural controllers for discrete-time stochastic systems. In: 21st
International Symposium on Automated Technology for Verification and Analysis.
Vol 14215. Springer Nature; 2023:357-379. doi:10.1007/978-3-031-45329-8_17'
apa: 'Ansaripour, M., Chatterjee, K., Henzinger, T. A., Lechner, M., & Zikelic,
D. (2023). Learning provably stabilizing neural controllers for discrete-time
stochastic systems. In 21st International Symposium on Automated Technology
for Verification and Analysis (Vol. 14215, pp. 357–379). Singapore, Singapore:
Springer Nature. https://doi.org/10.1007/978-3-031-45329-8_17'
chicago: Ansaripour, Matin, Krishnendu Chatterjee, Thomas A Henzinger, Mathias Lechner,
and Dorde Zikelic. “Learning Provably Stabilizing Neural Controllers for Discrete-Time
Stochastic Systems.” In 21st International Symposium on Automated Technology
for Verification and Analysis, 14215:357–79. Springer Nature, 2023. https://doi.org/10.1007/978-3-031-45329-8_17.
ieee: M. Ansaripour, K. Chatterjee, T. A. Henzinger, M. Lechner, and D. Zikelic,
“Learning provably stabilizing neural controllers for discrete-time stochastic
systems,” in 21st International Symposium on Automated Technology for Verification
and Analysis, Singapore, Singapore, 2023, vol. 14215, pp. 357–379.
ista: 'Ansaripour M, Chatterjee K, Henzinger TA, Lechner M, Zikelic D. 2023. Learning
provably stabilizing neural controllers for discrete-time stochastic systems.
21st International Symposium on Automated Technology for Verification and Analysis.
ATVA: Automated Technology for Verification and Analysis, LNCS, vol. 14215, 357–379.'
mla: Ansaripour, Matin, et al. “Learning Provably Stabilizing Neural Controllers
for Discrete-Time Stochastic Systems.” 21st International Symposium on Automated
Technology for Verification and Analysis, vol. 14215, Springer Nature, 2023,
pp. 357–79, doi:10.1007/978-3-031-45329-8_17.
short: M. Ansaripour, K. Chatterjee, T.A. Henzinger, M. Lechner, D. Zikelic, in:,
21st International Symposium on Automated Technology for Verification and Analysis,
Springer Nature, 2023, pp. 357–379.
conference:
end_date: 2023-10-27
location: Singapore, Singapore
name: 'ATVA: Automated Technology for Verification and Analysis'
start_date: 2023-10-24
date_created: 2023-11-19T23:00:56Z
date_published: 2023-10-22T00:00:00Z
date_updated: 2023-11-20T08:30:20Z
day: '22'
department:
- _id: ToHe
- _id: KrCh
doi: 10.1007/978-3-031-45329-8_17
ec_funded: 1
intvolume: ' 14215'
language:
- iso: eng
month: '10'
oa_version: None
page: 357-379
project:
- _id: 62781420-2b32-11ec-9570-8d9b63373d4d
call_identifier: H2020
grant_number: '101020093'
name: Vigilant Algorithmic Monitoring of Software
- _id: 0599E47C-7A3F-11EA-A408-12923DDC885E
call_identifier: H2020
grant_number: '863818'
name: 'Formal Methods for Stochastic Models: Algorithms and Applications'
- _id: 2564DBCA-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '665385'
name: International IST Doctoral Program
publication: 21st International Symposium on Automated Technology for Verification
and Analysis
publication_identifier:
eissn:
- 1611-3349
isbn:
- '9783031453281'
issn:
- 0302-9743
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
scopus_import: '1'
status: public
title: Learning provably stabilizing neural controllers for discrete-time stochastic
systems
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 14215
year: '2023'
...
---
_id: '13238'
abstract:
- lang: eng
text: "We consider a natural problem dealing with weighted packet selection across
a rechargeable link, which e.g., finds applications in cryptocurrency networks.
The capacity of a link (u, v) is determined by how much nodes u and v allocate
for this link. Specifically, the input is a finite ordered sequence of packets
that arrive in both directions along a link. Given (u, v) and a packet of weight
x going from u to v, node u can either accept or reject the packet. If u accepts
the packet, the capacity on link (u, v) decreases by x. Correspondingly, v’s capacity
on (u, v) increases by x. If a node rejects the packet, this will entail a cost
affinely linear in the weight of the packet. A link is “rechargeable” in the sense
that the total capacity of the link has to remain constant, but the allocation
of capacity at the ends of the link can depend arbitrarily on the nodes’ decisions.
The goal is to minimise the sum of the capacity injected into the link and the
cost of rejecting packets. We show that the problem is NP-hard, but can be approximated
efficiently with a ratio of (1+ε)⋅(1+3–√) for some arbitrary ε>0.\r\n."
acknowledgement: We thank Mahsa Bastankhah and Mohammad Ali Maddah-Ali for fruitful
discussions about different variants of the problem. This work is supported by the
European Research Council (ERC) Consolidator Project 864228 (AdjustNet), 2020-2025,
the ERC CoG 863818 (ForM-SMArt), and the German Research Foundation (DFG) grant
470029389 (FlexNets), 2021–2024.
alternative_title:
- LNCS
article_processing_charge: No
author:
- first_name: Stefan
full_name: Schmid, Stefan
last_name: Schmid
- first_name: Jakub
full_name: Svoboda, Jakub
id: 130759D2-D7DD-11E9-87D2-DE0DE6697425
last_name: Svoboda
orcid: 0000-0002-1419-3267
- first_name: Michelle X
full_name: Yeo, Michelle X
id: 2D82B818-F248-11E8-B48F-1D18A9856A87
last_name: Yeo
citation:
ama: 'Schmid S, Svoboda J, Yeo MX. Weighted packet selection for rechargeable links
in cryptocurrency networks: Complexity and approximation. In: SIROCCO 2023:
Structural Information and Communication Complexity . Vol 13892. Springer
Nature; 2023:576-594. doi:10.1007/978-3-031-32733-9_26'
apa: 'Schmid, S., Svoboda, J., & Yeo, M. X. (2023). Weighted packet selection
for rechargeable links in cryptocurrency networks: Complexity and approximation.
In SIROCCO 2023: Structural Information and Communication Complexity (Vol.
13892, pp. 576–594). Alcala de Henares, Spain: Springer Nature. https://doi.org/10.1007/978-3-031-32733-9_26'
chicago: 'Schmid, Stefan, Jakub Svoboda, and Michelle X Yeo. “Weighted Packet Selection
for Rechargeable Links in Cryptocurrency Networks: Complexity and Approximation.”
In SIROCCO 2023: Structural Information and Communication Complexity ,
13892:576–94. Springer Nature, 2023. https://doi.org/10.1007/978-3-031-32733-9_26.'
ieee: 'S. Schmid, J. Svoboda, and M. X. Yeo, “Weighted packet selection for rechargeable
links in cryptocurrency networks: Complexity and approximation,” in SIROCCO
2023: Structural Information and Communication Complexity , Alcala de Henares,
Spain, 2023, vol. 13892, pp. 576–594.'
ista: 'Schmid S, Svoboda J, Yeo MX. 2023. Weighted packet selection for rechargeable
links in cryptocurrency networks: Complexity and approximation. SIROCCO 2023:
Structural Information and Communication Complexity . SIROCCO: Structural Information
and Communication Complexity, LNCS, vol. 13892, 576–594.'
mla: 'Schmid, Stefan, et al. “Weighted Packet Selection for Rechargeable Links in Cryptocurrency
Networks: Complexity and Approximation.” SIROCCO 2023: Structural Information
and Communication Complexity , vol. 13892, Springer Nature, 2023, pp. 576–94,
doi:10.1007/978-3-031-32733-9_26.'
short: 'S. Schmid, J. Svoboda, M.X. Yeo, in:, SIROCCO 2023: Structural Information
and Communication Complexity , Springer Nature, 2023, pp. 576–594.'
conference:
end_date: 2023-06-09
location: Alcala de Henares, Spain
name: 'SIROCCO: Structural Information and Communication Complexity'
start_date: 2023-06-06
date_created: 2023-07-16T22:01:12Z
date_published: 2023-05-25T00:00:00Z
date_updated: 2023-11-30T10:54:51Z
day: '25'
department:
- _id: KrPi
- _id: KrCh
doi: 10.1007/978-3-031-32733-9_26
ec_funded: 1
external_id:
arxiv:
- '2204.13459'
intvolume: ' 13892'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.48550/arXiv.2204.13459
month: '05'
oa: 1
oa_version: Preprint
page: 576-594
project:
- _id: 0599E47C-7A3F-11EA-A408-12923DDC885E
call_identifier: H2020
grant_number: '863818'
name: 'Formal Methods for Stochastic Models: Algorithms and Applications'
publication: 'SIROCCO 2023: Structural Information and Communication Complexity '
publication_identifier:
eissn:
- 1611-3349
isbn:
- '9783031327322'
issn:
- 0302-9743
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
related_material:
record:
- id: '14506'
relation: dissertation_contains
status: public
scopus_import: '1'
status: public
title: 'Weighted packet selection for rechargeable links in cryptocurrency networks:
Complexity and approximation'
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 13892
year: '2023'
...
---
_id: '14657'
abstract:
- lang: eng
text: 'Natural selection is usually studied between mutants that differ in reproductive
rate, but are subject to the same population structure. Here we explore how natural
selection acts on mutants that have the same reproductive rate, but different
population structures. In our framework, population structure is given by a graph
that specifies where offspring can disperse. The invading mutant disperses offspring
on a different graph than the resident wild-type. We find that more densely connected
dispersal graphs tend to increase the invader’s fixation probability, but the
exact relationship between structure and fixation probability is subtle. We present
three main results. First, we prove that if both invader and resident are on complete
dispersal graphs, then removing a single edge in the invader’s dispersal graph
reduces its fixation probability. Second, we show that for certain island models
higher invader’s connectivity increases its fixation probability, but the magnitude
of the effect depends on the exact layout of the connections. Third, we show that
for lattices the effect of different connectivity is comparable to that of different
fitness: for large population size, the invader’s fixation probability is either
constant or exponentially small, depending on whether it is more or less connected
than the resident.'
acknowledgement: K.C. acknowledges support from the ERC CoG 863818(ForM-SMArt). J.T.
is supported by Center for Foundations ofModern Computer Science (Charles Univ.
project UNCE/SCI/004).
article_number: '20230355'
article_processing_charge: Yes (in subscription journal)
article_type: original
author:
- first_name: Josef
full_name: Tkadlec, Josef
id: 3F24CCC8-F248-11E8-B48F-1D18A9856A87
last_name: Tkadlec
orcid: 0000-0002-1097-9684
- first_name: Kamran
full_name: Kaveh, Kamran
last_name: Kaveh
- first_name: Krishnendu
full_name: Chatterjee, Krishnendu
id: 2E5DCA20-F248-11E8-B48F-1D18A9856A87
last_name: Chatterjee
orcid: 0000-0002-4561-241X
- first_name: Martin A.
full_name: Nowak, Martin A.
last_name: Nowak
citation:
ama: Tkadlec J, Kaveh K, Chatterjee K, Nowak MA. Evolutionary dynamics of mutants
that modify population structure. Journal of the Royal Society, Interface.
2023;20(208). doi:10.1098/rsif.2023.0355
apa: Tkadlec, J., Kaveh, K., Chatterjee, K., & Nowak, M. A. (2023). Evolutionary
dynamics of mutants that modify population structure. Journal of the Royal
Society, Interface. The Royal Society. https://doi.org/10.1098/rsif.2023.0355
chicago: Tkadlec, Josef, Kamran Kaveh, Krishnendu Chatterjee, and Martin A. Nowak.
“Evolutionary Dynamics of Mutants That Modify Population Structure.” Journal
of the Royal Society, Interface. The Royal Society, 2023. https://doi.org/10.1098/rsif.2023.0355.
ieee: J. Tkadlec, K. Kaveh, K. Chatterjee, and M. A. Nowak, “Evolutionary dynamics
of mutants that modify population structure,” Journal of the Royal Society,
Interface, vol. 20, no. 208. The Royal Society, 2023.
ista: Tkadlec J, Kaveh K, Chatterjee K, Nowak MA. 2023. Evolutionary dynamics of
mutants that modify population structure. Journal of the Royal Society, Interface.
20(208), 20230355.
mla: Tkadlec, Josef, et al. “Evolutionary Dynamics of Mutants That Modify Population
Structure.” Journal of the Royal Society, Interface, vol. 20, no. 208,
20230355, The Royal Society, 2023, doi:10.1098/rsif.2023.0355.
short: J. Tkadlec, K. Kaveh, K. Chatterjee, M.A. Nowak, Journal of the Royal Society,
Interface 20 (2023).
date_created: 2023-12-10T23:00:58Z
date_published: 2023-11-29T00:00:00Z
date_updated: 2023-12-11T11:17:53Z
day: '29'
ddc:
- '000'
- '570'
department:
- _id: KrCh
doi: 10.1098/rsif.2023.0355
ec_funded: 1
external_id:
pmid:
- '38016637'
file:
- access_level: open_access
checksum: 2eefab13127c7786dbd33303c482a004
content_type: application/pdf
creator: dernst
date_created: 2023-12-11T11:10:32Z
date_updated: 2023-12-11T11:10:32Z
file_id: '14673'
file_name: 2023_RoyalInterface_Tkadlec.pdf
file_size: 1720243
relation: main_file
success: 1
file_date_updated: 2023-12-11T11:10:32Z
has_accepted_license: '1'
intvolume: ' 20'
issue: '208'
language:
- iso: eng
month: '11'
oa: 1
oa_version: Published Version
pmid: 1
project:
- _id: 0599E47C-7A3F-11EA-A408-12923DDC885E
call_identifier: H2020
grant_number: '863818'
name: 'Formal Methods for Stochastic Models: Algorithms and Applications'
publication: Journal of the Royal Society, Interface
publication_identifier:
eissn:
- 1742-5662
publication_status: published
publisher: The Royal Society
quality_controlled: '1'
scopus_import: '1'
status: public
title: Evolutionary dynamics of mutants that modify population structure
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 20
year: '2023'
...
---
_id: '13258'
abstract:
- lang: eng
text: Many human interactions feature the characteristics of social dilemmas where
individual actions have consequences for the group and the environment. The feedback
between behavior and environment can be studied with the framework of stochastic
games. In stochastic games, the state of the environment can change, depending
on the choices made by group members. Past work suggests that such feedback can
reinforce cooperative behaviors. In particular, cooperation can evolve in stochastic
games even if it is infeasible in each separate repeated game. In stochastic games,
participants have an interest in conditioning their strategies on the state of
the environment. Yet in many applications, precise information about the state
could be scarce. Here, we study how the availability of information (or lack thereof)
shapes evolution of cooperation. Already for simple examples of two state games
we find surprising effects. In some cases, cooperation is only possible if there
is precise information about the state of the environment. In other cases, cooperation
is most abundant when there is no information about the state of the environment.
We systematically analyze all stochastic games of a given complexity class, to
determine when receiving information about the environment is better, neutral,
or worse for evolution of cooperation.
acknowledgement: 'This work was supported by the European Research Council CoG 863818
(ForM-SMArt) (to K.C.), the European Research Council Starting Grant 850529: E-DIRECT
(to C.H.), the European Union’s Horizon 2020 research and innovation program under
the Marie Sklodowska-Curie Grant Agreement #754411 and the French Agence Nationale
de la Recherche (under the Investissement d’Avenir programme, ANR-17-EURE-0010)
(to M.K.).'
article_number: '4153'
article_processing_charge: Yes
article_type: original
author:
- first_name: Maria
full_name: Kleshnina, Maria
id: 4E21749C-F248-11E8-B48F-1D18A9856A87
last_name: Kleshnina
- first_name: Christian
full_name: Hilbe, Christian
id: 2FDF8F3C-F248-11E8-B48F-1D18A9856A87
last_name: Hilbe
orcid: 0000-0001-5116-955X
- first_name: Stepan
full_name: Simsa, Stepan
id: 409d615c-2f95-11ee-b934-90a352102c1e
last_name: Simsa
orcid: 0000-0001-6687-1210
- first_name: Krishnendu
full_name: Chatterjee, Krishnendu
id: 2E5DCA20-F248-11E8-B48F-1D18A9856A87
last_name: Chatterjee
orcid: 0000-0002-4561-241X
- first_name: Martin A.
full_name: Nowak, Martin A.
last_name: Nowak
citation:
ama: Kleshnina M, Hilbe C, Simsa S, Chatterjee K, Nowak MA. The effect of environmental
information on evolution of cooperation in stochastic games. Nature Communications.
2023;14. doi:10.1038/s41467-023-39625-9
apa: Kleshnina, M., Hilbe, C., Simsa, S., Chatterjee, K., & Nowak, M. A. (2023).
The effect of environmental information on evolution of cooperation in stochastic
games. Nature Communications. Springer Nature. https://doi.org/10.1038/s41467-023-39625-9
chicago: Kleshnina, Maria, Christian Hilbe, Stepan Simsa, Krishnendu Chatterjee,
and Martin A. Nowak. “The Effect of Environmental Information on Evolution of
Cooperation in Stochastic Games.” Nature Communications. Springer Nature,
2023. https://doi.org/10.1038/s41467-023-39625-9.
ieee: M. Kleshnina, C. Hilbe, S. Simsa, K. Chatterjee, and M. A. Nowak, “The effect
of environmental information on evolution of cooperation in stochastic games,”
Nature Communications, vol. 14. Springer Nature, 2023.
ista: Kleshnina M, Hilbe C, Simsa S, Chatterjee K, Nowak MA. 2023. The effect of
environmental information on evolution of cooperation in stochastic games. Nature
Communications. 14, 4153.
mla: Kleshnina, Maria, et al. “The Effect of Environmental Information on Evolution
of Cooperation in Stochastic Games.” Nature Communications, vol. 14, 4153,
Springer Nature, 2023, doi:10.1038/s41467-023-39625-9.
short: M. Kleshnina, C. Hilbe, S. Simsa, K. Chatterjee, M.A. Nowak, Nature Communications
14 (2023).
date_created: 2023-07-23T22:01:11Z
date_published: 2023-07-12T00:00:00Z
date_updated: 2023-12-13T11:42:38Z
day: '12'
ddc:
- '000'
department:
- _id: KrCh
doi: 10.1038/s41467-023-39625-9
ec_funded: 1
external_id:
isi:
- '001029450400031'
pmid:
- '37438341'
file:
- access_level: open_access
checksum: 5aceefdfe76686267b93ae4fe81899f1
content_type: application/pdf
creator: dernst
date_created: 2023-07-31T11:32:36Z
date_updated: 2023-07-31T11:32:36Z
file_id: '13337'
file_name: 2023_NatureComm_Kleshnina.pdf
file_size: 1601682
relation: main_file
success: 1
file_date_updated: 2023-07-31T11:32:36Z
has_accepted_license: '1'
intvolume: ' 14'
isi: 1
language:
- iso: eng
month: '07'
oa: 1
oa_version: Published Version
pmid: 1
project:
- _id: 0599E47C-7A3F-11EA-A408-12923DDC885E
call_identifier: H2020
grant_number: '863818'
name: 'Formal Methods for Stochastic Models: Algorithms and Applications'
- _id: 260C2330-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '754411'
name: ISTplus - Postdoctoral Fellowships
publication: Nature Communications
publication_identifier:
eissn:
- 2041-1723
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
related_material:
record:
- id: '13336'
relation: research_data
status: public
scopus_import: '1'
status: public
title: The effect of environmental information on evolution of cooperation in stochastic
games
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 14
year: '2023'
...
---
_id: '13336'
article_processing_charge: No
author:
- first_name: Maria
full_name: Kleshnina, Maria
id: 4E21749C-F248-11E8-B48F-1D18A9856A87
last_name: Kleshnina
citation:
ama: 'Kleshnina M. kleshnina/stochgames_info: The effect of environmental information
on evolution of cooperation in stochastic games. 2023. doi:10.5281/ZENODO.8059564'
apa: 'Kleshnina, M. (2023). kleshnina/stochgames_info: The effect of environmental
information on evolution of cooperation in stochastic games. Zenodo. https://doi.org/10.5281/ZENODO.8059564'
chicago: 'Kleshnina, Maria. “Kleshnina/Stochgames_info: The Effect of Environmental
Information on Evolution of Cooperation in Stochastic Games.” Zenodo, 2023. https://doi.org/10.5281/ZENODO.8059564.'
ieee: 'M. Kleshnina, “kleshnina/stochgames_info: The effect of environmental information
on evolution of cooperation in stochastic games.” Zenodo, 2023.'
ista: 'Kleshnina M. 2023. kleshnina/stochgames_info: The effect of environmental
information on evolution of cooperation in stochastic games, Zenodo, 10.5281/ZENODO.8059564.'
mla: 'Kleshnina, Maria. Kleshnina/Stochgames_info: The Effect of Environmental
Information on Evolution of Cooperation in Stochastic Games. Zenodo, 2023,
doi:10.5281/ZENODO.8059564.'
short: M. Kleshnina, (2023).
date_created: 2023-07-31T11:30:46Z
date_published: 2023-06-20T00:00:00Z
date_updated: 2023-12-13T11:42:37Z
day: '20'
ddc:
- '000'
department:
- _id: KrCh
doi: 10.5281/ZENODO.8059564
main_file_link:
- open_access: '1'
url: https://doi.org/10.5281/zenodo.8059564
month: '06'
oa: 1
oa_version: Published Version
publisher: Zenodo
related_material:
record:
- id: '13258'
relation: used_in_publication
status: public
status: public
title: 'kleshnina/stochgames_info: The effect of environmental information on evolution
of cooperation in stochastic games'
type: research_data_reference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2023'
...
---
_id: '13967'
abstract:
- lang: eng
text: 'A classic solution technique for Markov decision processes (MDP) and stochastic
games (SG) is value iteration (VI). Due to its good practical performance, this
approximative approach is typically preferred over exact techniques, even though
no practical bounds on the imprecision of the result could be given until recently.
As a consequence, even the most used model checkers could return arbitrarily wrong
results. Over the past decade, different works derived stopping criteria, indicating
when the precision reaches the desired level, for various settings, in particular
MDP with reachability, total reward, and mean payoff, and SG with reachability.In
this paper, we provide the first stopping criteria for VI on SG with total reward
and mean payoff, yielding the first anytime algorithms in these settings. To this
end, we provide the solution in two flavours: First through a reduction to the
MDP case and second directly on SG. The former is simpler and automatically utilizes
any advances on MDP. The latter allows for more local computations, heading towards
better practical efficiency.Our solution unifies the previously mentioned approaches
for MDP and SG and their underlying ideas. To achieve this, we isolate objective-specific
subroutines as well as identify objective-independent concepts. These structural
concepts, while surprisingly simple, form the very essence of the unified solution.'
acknowledgement: This research was funded in part by DFG projects 383882557 “SUV”
and 427755713 “GOPro”.
article_processing_charge: No
author:
- first_name: Jan
full_name: Kretinsky, Jan
id: 44CEF464-F248-11E8-B48F-1D18A9856A87
last_name: Kretinsky
orcid: 0000-0002-8122-2881
- first_name: Tobias
full_name: Meggendorfer, Tobias
id: b21b0c15-30a2-11eb-80dc-f13ca25802e1
last_name: Meggendorfer
orcid: 0000-0002-1712-2165
- first_name: Maximilian
full_name: Weininger, Maximilian
id: 02ab0197-cc70-11ed-ab61-918e71f56881
last_name: Weininger
citation:
ama: 'Kretinsky J, Meggendorfer T, Weininger M. Stopping criteria for value iteration
on stochastic games with quantitative objectives. In: 38th Annual ACM/IEEE
Symposium on Logic in Computer Science. Vol 2023. Institute of Electrical
and Electronics Engineers; 2023. doi:10.1109/LICS56636.2023.10175771'
apa: 'Kretinsky, J., Meggendorfer, T., & Weininger, M. (2023). Stopping criteria
for value iteration on stochastic games with quantitative objectives. In 38th
Annual ACM/IEEE Symposium on Logic in Computer Science (Vol. 2023). Boston,
MA, United States: Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/LICS56636.2023.10175771'
chicago: Kretinsky, Jan, Tobias Meggendorfer, and Maximilian Weininger. “Stopping
Criteria for Value Iteration on Stochastic Games with Quantitative Objectives.”
In 38th Annual ACM/IEEE Symposium on Logic in Computer Science, Vol. 2023.
Institute of Electrical and Electronics Engineers, 2023. https://doi.org/10.1109/LICS56636.2023.10175771.
ieee: J. Kretinsky, T. Meggendorfer, and M. Weininger, “Stopping criteria for value
iteration on stochastic games with quantitative objectives,” in 38th Annual
ACM/IEEE Symposium on Logic in Computer Science, Boston, MA, United States,
2023, vol. 2023.
ista: 'Kretinsky J, Meggendorfer T, Weininger M. 2023. Stopping criteria for value
iteration on stochastic games with quantitative objectives. 38th Annual ACM/IEEE
Symposium on Logic in Computer Science. LICS: Symposium on Logic in Computer Science
vol. 2023.'
mla: Kretinsky, Jan, et al. “Stopping Criteria for Value Iteration on Stochastic
Games with Quantitative Objectives.” 38th Annual ACM/IEEE Symposium on Logic
in Computer Science, vol. 2023, Institute of Electrical and Electronics Engineers,
2023, doi:10.1109/LICS56636.2023.10175771.
short: J. Kretinsky, T. Meggendorfer, M. Weininger, in:, 38th Annual ACM/IEEE Symposium
on Logic in Computer Science, Institute of Electrical and Electronics Engineers,
2023.
conference:
end_date: 2023-06-29
location: Boston, MA, United States
name: 'LICS: Symposium on Logic in Computer Science'
start_date: 2023-06-26
date_created: 2023-08-06T22:01:10Z
date_published: 2023-07-01T00:00:00Z
date_updated: 2023-12-13T12:06:10Z
day: '01'
department:
- _id: KrCh
doi: 10.1109/LICS56636.2023.10175771
external_id:
arxiv:
- '2304.09930'
isi:
- '001036707700042'
intvolume: ' 2023'
isi: 1
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.48550/arXiv.2304.09930
month: '07'
oa: 1
oa_version: Preprint
publication: 38th Annual ACM/IEEE Symposium on Logic in Computer Science
publication_identifier:
isbn:
- '9798350335873'
issn:
- 1043-6871
publication_status: published
publisher: Institute of Electrical and Electronics Engineers
quality_controlled: '1'
scopus_import: '1'
status: public
title: Stopping criteria for value iteration on stochastic games with quantitative
objectives
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 2023
year: '2023'
...
---
_id: '12833'
abstract:
- lang: eng
text: 'The input to the token swapping problem is a graph with vertices v1, v2,
. . . , vn, and n tokens with labels 1,2, . . . , n, one on each vertex. The goal
is to get token i to vertex vi for all i= 1, . . . , n using a minimum number
of swaps, where a swap exchanges the tokens on the endpoints of an edge.Token
swapping on a tree, also known as “sorting with a transposition tree,” is not
known to be in P nor NP-complete. We present some partial results: 1. An optimum
swap sequence may need to perform a swap on a leaf vertex that has the correct
token (a “happy leaf”), disproving a conjecture of Vaughan. 2. Any algorithm that
fixes happy leaves—as all known approximation algorithms for the problem do—has
approximation factor at least 4/3. Furthermore, the two best-known 2-approximation
algorithms have approximation factor exactly 2. 3. A generalized problem—weighted
coloured token swapping—is NP-complete on trees, but solvable in polynomial time
on paths and stars. In this version, tokens and vertices have colours, and colours
have weights. The goal is to get every token to a vertex of the same colour, and
the cost of a swap is the sum of the weights of the two tokens involved.'
acknowledgement: "This work was begun at the University of Waterloo and was partially
supported by the Natural Sciences and Engineering Council of Canada (NSERC).\r\n"
article_number: '9'
article_processing_charge: No
article_type: original
author:
- first_name: Ahmad
full_name: Biniaz, Ahmad
last_name: Biniaz
- first_name: Kshitij
full_name: Jain, Kshitij
last_name: Jain
- first_name: Anna
full_name: Lubiw, Anna
last_name: Lubiw
- first_name: Zuzana
full_name: Masárová, Zuzana
id: 45CFE238-F248-11E8-B48F-1D18A9856A87
last_name: Masárová
orcid: 0000-0002-6660-1322
- first_name: Tillmann
full_name: Miltzow, Tillmann
last_name: Miltzow
- first_name: Debajyoti
full_name: Mondal, Debajyoti
last_name: Mondal
- first_name: Anurag Murty
full_name: Naredla, Anurag Murty
last_name: Naredla
- first_name: Josef
full_name: Tkadlec, Josef
id: 3F24CCC8-F248-11E8-B48F-1D18A9856A87
last_name: Tkadlec
orcid: 0000-0002-1097-9684
- first_name: Alexi
full_name: Turcotte, Alexi
last_name: Turcotte
citation:
ama: Biniaz A, Jain K, Lubiw A, et al. Token swapping on trees. Discrete Mathematics
and Theoretical Computer Science. 2023;24(2). doi:10.46298/DMTCS.8383
apa: Biniaz, A., Jain, K., Lubiw, A., Masárová, Z., Miltzow, T., Mondal, D., … Turcotte,
A. (2023). Token swapping on trees. Discrete Mathematics and Theoretical Computer
Science. EPI Sciences. https://doi.org/10.46298/DMTCS.8383
chicago: Biniaz, Ahmad, Kshitij Jain, Anna Lubiw, Zuzana Masárová, Tillmann Miltzow,
Debajyoti Mondal, Anurag Murty Naredla, Josef Tkadlec, and Alexi Turcotte. “Token
Swapping on Trees.” Discrete Mathematics and Theoretical Computer Science.
EPI Sciences, 2023. https://doi.org/10.46298/DMTCS.8383.
ieee: A. Biniaz et al., “Token swapping on trees,” Discrete Mathematics
and Theoretical Computer Science, vol. 24, no. 2. EPI Sciences, 2023.
ista: Biniaz A, Jain K, Lubiw A, Masárová Z, Miltzow T, Mondal D, Naredla AM, Tkadlec
J, Turcotte A. 2023. Token swapping on trees. Discrete Mathematics and Theoretical
Computer Science. 24(2), 9.
mla: Biniaz, Ahmad, et al. “Token Swapping on Trees.” Discrete Mathematics and
Theoretical Computer Science, vol. 24, no. 2, 9, EPI Sciences, 2023, doi:10.46298/DMTCS.8383.
short: A. Biniaz, K. Jain, A. Lubiw, Z. Masárová, T. Miltzow, D. Mondal, A.M. Naredla,
J. Tkadlec, A. Turcotte, Discrete Mathematics and Theoretical Computer Science
24 (2023).
date_created: 2023-04-16T22:01:08Z
date_published: 2023-01-18T00:00:00Z
date_updated: 2024-01-04T12:42:09Z
day: '18'
ddc:
- '000'
department:
- _id: KrCh
- _id: HeEd
- _id: UlWa
doi: 10.46298/DMTCS.8383
external_id:
arxiv:
- '1903.06981'
file:
- access_level: open_access
checksum: 439102ea4f6e2aeefd7107dfb9ccf532
content_type: application/pdf
creator: dernst
date_created: 2023-04-17T08:10:28Z
date_updated: 2023-04-17T08:10:28Z
file_id: '12844'
file_name: 2022_DMTCS_Biniaz.pdf
file_size: 2072197
relation: main_file
success: 1
file_date_updated: 2023-04-17T08:10:28Z
has_accepted_license: '1'
intvolume: ' 24'
issue: '2'
language:
- iso: eng
month: '01'
oa: 1
oa_version: Published Version
publication: Discrete Mathematics and Theoretical Computer Science
publication_identifier:
eissn:
- 1365-8050
issn:
- 1462-7264
publication_status: published
publisher: EPI Sciences
quality_controlled: '1'
related_material:
record:
- id: '7950'
relation: earlier_version
status: public
scopus_import: '1'
status: public
title: Token swapping on trees
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 3E5EF7F0-F248-11E8-B48F-1D18A9856A87
volume: 24
year: '2023'
...
---
_id: '14736'
abstract:
- lang: eng
text: Payment channel networks (PCNs) are a promising technology to improve the
scalability of cryptocurrencies. PCNs, however, face the challenge that the frequent
usage of certain routes may deplete channels in one direction, and hence prevent
further transactions. In order to reap the full potential of PCNs, recharging
and rebalancing mechanisms are required to provision channels, as well as an admission
control logic to decide which transactions to reject in case capacity is insufficient.
This paper presents a formal model of this optimisation problem. In particular,
we consider an online algorithms perspective, where transactions arrive over time
in an unpredictable manner. Our main contributions are competitive online algorithms
which come with provable guarantees over time. We empirically evaluate our algorithms
on randomly generated transactions to compare the average performance of our algorithms
to our theoretical bounds. We also show how this model and approach differs from
related problems in classic communication networks.
acknowledgement: Supported by the German Federal Ministry of Education and Research
(BMBF), grant 16KISK020K (6G-RIC), 2021–2025, and ERC CoG 863818 (ForM-SMArt).
alternative_title:
- LNCS
article_processing_charge: No
author:
- first_name: Mahsa
full_name: Bastankhah, Mahsa
last_name: Bastankhah
- first_name: Krishnendu
full_name: Chatterjee, Krishnendu
id: 2E5DCA20-F248-11E8-B48F-1D18A9856A87
last_name: Chatterjee
orcid: 0000-0002-4561-241X
- first_name: Mohammad Ali
full_name: Maddah-Ali, Mohammad Ali
last_name: Maddah-Ali
- first_name: Stefan
full_name: Schmid, Stefan
last_name: Schmid
- first_name: Jakub
full_name: Svoboda, Jakub
id: 130759D2-D7DD-11E9-87D2-DE0DE6697425
last_name: Svoboda
orcid: 0000-0002-1419-3267
- first_name: Michelle X
full_name: Yeo, Michelle X
id: 2D82B818-F248-11E8-B48F-1D18A9856A87
last_name: Yeo
citation:
ama: 'Bastankhah M, Chatterjee K, Maddah-Ali MA, Schmid S, Svoboda J, Yeo MX. R2:
Boosting liquidity in payment channel networks with online admission control.
In: 27th International Conference on Financial Cryptography and Data Security.
Vol 13950. Springer Nature; 2023:309-325. doi:10.1007/978-3-031-47754-6_18'
apa: 'Bastankhah, M., Chatterjee, K., Maddah-Ali, M. A., Schmid, S., Svoboda, J.,
& Yeo, M. X. (2023). R2: Boosting liquidity in payment channel networks with online
admission control. In 27th International Conference on Financial Cryptography
and Data Security (Vol. 13950, pp. 309–325). Bol, Brac, Croatia: Springer
Nature. https://doi.org/10.1007/978-3-031-47754-6_18'
chicago: 'Bastankhah, Mahsa, Krishnendu Chatterjee, Mohammad Ali Maddah-Ali, Stefan
Schmid, Jakub Svoboda, and Michelle X Yeo. “R2: Boosting Liquidity in Payment
Channel Networks with Online Admission Control.” In 27th International Conference
on Financial Cryptography and Data Security, 13950:309–25. Springer Nature,
2023. https://doi.org/10.1007/978-3-031-47754-6_18.'
ieee: 'M. Bastankhah, K. Chatterjee, M. A. Maddah-Ali, S. Schmid, J. Svoboda, and
M. X. Yeo, “R2: Boosting liquidity in payment channel networks with online admission
control,” in 27th International Conference on Financial Cryptography and Data
Security, Bol, Brac, Croatia, 2023, vol. 13950, pp. 309–325.'
ista: 'Bastankhah M, Chatterjee K, Maddah-Ali MA, Schmid S, Svoboda J, Yeo MX. 2023.
R2: Boosting liquidity in payment channel networks with online admission control.
27th International Conference on Financial Cryptography and Data Security. FC:
Financial Cryptography and Data Security, LNCS, vol. 13950, 309–325.'
mla: 'Bastankhah, Mahsa, et al. “R2: Boosting Liquidity in Payment Channel Networks
with Online Admission Control.” 27th International Conference on Financial
Cryptography and Data Security, vol. 13950, Springer Nature, 2023, pp. 309–25,
doi:10.1007/978-3-031-47754-6_18.'
short: M. Bastankhah, K. Chatterjee, M.A. Maddah-Ali, S. Schmid, J. Svoboda, M.X.
Yeo, in:, 27th International Conference on Financial Cryptography and Data Security,
Springer Nature, 2023, pp. 309–325.
conference:
end_date: 2023-05-05
location: Bol, Brac, Croatia
name: 'FC: Financial Cryptography and Data Security'
start_date: 2023-05-01
date_created: 2024-01-08T09:30:22Z
date_published: 2023-12-01T00:00:00Z
date_updated: 2024-01-08T09:36:36Z
day: '01'
department:
- _id: KrCh
- _id: KrPi
doi: 10.1007/978-3-031-47754-6_18
ec_funded: 1
intvolume: ' 13950'
language:
- iso: eng
month: '12'
oa_version: None
page: 309-325
project:
- _id: 0599E47C-7A3F-11EA-A408-12923DDC885E
call_identifier: H2020
grant_number: '863818'
name: 'Formal Methods for Stochastic Models: Algorithms and Applications'
publication: 27th International Conference on Financial Cryptography and Data Security
publication_identifier:
eisbn:
- '9783031477546'
eissn:
- 1611-3349
isbn:
- '9783031477539'
issn:
- 0302-9743
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
status: public
title: 'R2: Boosting liquidity in payment channel networks with online admission control'
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 13950
year: '2023'
...
---
_id: '14539'
abstract:
- lang: eng
text: "Stochastic systems provide a formal framework for modelling and quantifying
uncertainty in systems and have been widely adopted in many application domains.
Formal\r\nverification and control of finite state stochastic systems, a subfield
of formal methods\r\nalso known as probabilistic model checking, is well studied.
In contrast, formal verification and control of infinite state stochastic systems
have received comparatively\r\nless attention. However, infinite state stochastic
systems commonly arise in practice.\r\nFor instance, probabilistic models that
contain continuous probability distributions such\r\nas normal or uniform, or
stochastic dynamical systems which are a classical model for\r\ncontrol under
uncertainty, both give rise to infinite state systems.\r\nThe goal of this thesis
is to contribute to laying theoretical and algorithmic foundations\r\nof fully
automated formal verification and control of infinite state stochastic systems,\r\nwith
a particular focus on systems that may be executed over a long or infinite time.\r\nWe
consider formal verification of infinite state stochastic systems in the setting
of\r\nstatic analysis of probabilistic programs and formal control in the setting
of controller\r\nsynthesis in stochastic dynamical systems. For both problems,
we present some of the\r\nfirst fully automated methods for probabilistic (a.k.a.
quantitative) reachability and\r\nsafety analysis applicable to infinite time
horizon systems. We also advance the state\r\nof the art of probability 1 (a.k.a.
qualitative) reachability analysis for both problems.\r\nFinally, for formal controller
synthesis in stochastic dynamical systems, we present a\r\nnovel framework for
learning neural network control policies in stochastic dynamical\r\nsystems with
formal guarantees on correctness with respect to quantitative reachability,\r\nsafety
or reach-avoid specifications.\r\n"
alternative_title:
- ISTA Thesis
article_processing_charge: No
author:
- first_name: Dorde
full_name: Zikelic, Dorde
id: 294AA7A6-F248-11E8-B48F-1D18A9856A87
last_name: Zikelic
orcid: 0000-0002-4681-1699
citation:
ama: Zikelic D. Automated verification and control of infinite state stochastic
systems. 2023. doi:10.15479/14539
apa: Zikelic, D. (2023). Automated verification and control of infinite state
stochastic systems. Institute of Science and Technology Austria. https://doi.org/10.15479/14539
chicago: Zikelic, Dorde. “Automated Verification and Control of Infinite State Stochastic
Systems.” Institute of Science and Technology Austria, 2023. https://doi.org/10.15479/14539.
ieee: D. Zikelic, “Automated verification and control of infinite state stochastic
systems,” Institute of Science and Technology Austria, 2023.
ista: Zikelic D. 2023. Automated verification and control of infinite state stochastic
systems. Institute of Science and Technology Austria.
mla: Zikelic, Dorde. Automated Verification and Control of Infinite State Stochastic
Systems. Institute of Science and Technology Austria, 2023, doi:10.15479/14539.
short: D. Zikelic, Automated Verification and Control of Infinite State Stochastic
Systems, Institute of Science and Technology Austria, 2023.
date_created: 2023-11-15T13:39:10Z
date_published: 2023-11-15T00:00:00Z
date_updated: 2024-01-16T11:58:15Z
day: '15'
ddc:
- '000'
degree_awarded: PhD
department:
- _id: KrCh
- _id: GradSch
doi: 10.15479/14539
ec_funded: 1
file:
- access_level: open_access
checksum: f23e002b0059ca78e1fbb864da52dd7e
content_type: application/pdf
creator: cchlebak
date_created: 2023-11-15T13:43:28Z
date_updated: 2023-11-15T13:43:28Z
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checksum: 80ca37618a3c7b59866875f8be9b15ed
content_type: application/x-zip-compressed
creator: cchlebak
date_created: 2023-11-15T13:44:24Z
date_updated: 2023-11-15T13:44:24Z
file_id: '14541'
file_name: thesis_source.zip
file_size: 35884057
relation: source_file
file_date_updated: 2023-11-15T13:44:24Z
language:
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license: https://creativecommons.org/licenses/by-nc-sa/4.0/
month: '11'
oa: 1
oa_version: Published Version
page: '256'
project:
- _id: 0599E47C-7A3F-11EA-A408-12923DDC885E
call_identifier: H2020
grant_number: '863818'
name: 'Formal Methods for Stochastic Models: Algorithms and Applications'
- _id: 2564DBCA-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '665385'
name: International IST Doctoral Program
publication_identifier:
isbn:
- 978-3-99078-036-7
issn:
- 2663 - 337X
publication_status: published
publisher: Institute of Science and Technology Austria
related_material:
record:
- id: '1194'
relation: part_of_dissertation
status: public
- id: '12000'
relation: part_of_dissertation
status: public
- id: '9644'
relation: part_of_dissertation
status: public
- id: '12511'
relation: part_of_dissertation
status: public
- id: '14600'
relation: part_of_dissertation
status: public
- id: '14601'
relation: part_of_dissertation
status: public
- id: '10414'
relation: part_of_dissertation
status: public
status: public
supervisor:
- first_name: Krishnendu
full_name: Chatterjee, Krishnendu
id: 2E5DCA20-F248-11E8-B48F-1D18A9856A87
last_name: Chatterjee
orcid: 0000-0002-4561-241X
title: Automated verification and control of infinite state stochastic systems
tmp:
image: /images/cc_by_nc_sa.png
legal_code_url: https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode
name: Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC
BY-NC-SA 4.0)
short: CC BY-NC-SA (4.0)
type: dissertation
user_id: 8b945eb4-e2f2-11eb-945a-df72226e66a9
year: '2023'
...
---
_id: '14778'
abstract:
- lang: eng
text: 'We consider the almost-sure (a.s.) termination problem for probabilistic
programs, which are a stochastic extension of classical imperative programs. Lexicographic
ranking functions provide a sound and practical approach for termination of non-probabilistic
programs, and their extension to probabilistic programs is achieved via lexicographic
ranking supermartingales (LexRSMs). However, LexRSMs introduced in the previous
work have a limitation that impedes their automation: all of their components
have to be non-negative in all reachable states. This might result in a LexRSM
not existing even for simple terminating programs. Our contributions are twofold.
First, we introduce a generalization of LexRSMs that allows for some components
to be negative. This standard feature of non-probabilistic termination proofs
was hitherto not known to be sound in the probabilistic setting, as the soundness
proof requires a careful analysis of the underlying stochastic process. Second,
we present polynomial-time algorithms using our generalized LexRSMs for proving
a.s. termination in broad classes of linear-arithmetic programs.'
acknowledgement: This research was partially supported by the ERC CoG (grant no. 863818;
ForM-SMArt), the Czech Science Foundation (grant no. GA21-24711S), and the European
Union’s Horizon 2020 research and innovation program under the Marie Skłodowska-Curie
Grant Agreement No. 665385.
article_number: '11'
article_processing_charge: Yes (via OA deal)
article_type: original
author:
- first_name: Krishnendu
full_name: Chatterjee, Krishnendu
id: 2E5DCA20-F248-11E8-B48F-1D18A9856A87
last_name: Chatterjee
orcid: 0000-0002-4561-241X
- first_name: Ehsan
full_name: Kafshdar Goharshady, Ehsan
last_name: Kafshdar Goharshady
- first_name: Petr
full_name: Novotný, Petr
id: 3CC3B868-F248-11E8-B48F-1D18A9856A87
last_name: Novotný
- first_name: Jiří
full_name: Zárevúcky, Jiří
last_name: Zárevúcky
- first_name: Dorde
full_name: Zikelic, Dorde
id: 294AA7A6-F248-11E8-B48F-1D18A9856A87
last_name: Zikelic
orcid: 0000-0002-4681-1699
citation:
ama: Chatterjee K, Kafshdar Goharshady E, Novotný P, Zárevúcky J, Zikelic D. On
lexicographic proof rules for probabilistic termination. Formal Aspects of
Computing. 2023;35(2). doi:10.1145/3585391
apa: Chatterjee, K., Kafshdar Goharshady, E., Novotný, P., Zárevúcky, J., &
Zikelic, D. (2023). On lexicographic proof rules for probabilistic termination.
Formal Aspects of Computing. Association for Computing Machinery. https://doi.org/10.1145/3585391
chicago: Chatterjee, Krishnendu, Ehsan Kafshdar Goharshady, Petr Novotný, Jiří Zárevúcky,
and Dorde Zikelic. “On Lexicographic Proof Rules for Probabilistic Termination.”
Formal Aspects of Computing. Association for Computing Machinery, 2023.
https://doi.org/10.1145/3585391.
ieee: K. Chatterjee, E. Kafshdar Goharshady, P. Novotný, J. Zárevúcky, and D. Zikelic,
“On lexicographic proof rules for probabilistic termination,” Formal Aspects
of Computing, vol. 35, no. 2. Association for Computing Machinery, 2023.
ista: Chatterjee K, Kafshdar Goharshady E, Novotný P, Zárevúcky J, Zikelic D. 2023.
On lexicographic proof rules for probabilistic termination. Formal Aspects of
Computing. 35(2), 11.
mla: Chatterjee, Krishnendu, et al. “On Lexicographic Proof Rules for Probabilistic
Termination.” Formal Aspects of Computing, vol. 35, no. 2, 11, Association
for Computing Machinery, 2023, doi:10.1145/3585391.
short: K. Chatterjee, E. Kafshdar Goharshady, P. Novotný, J. Zárevúcky, D. Zikelic,
Formal Aspects of Computing 35 (2023).
date_created: 2024-01-10T09:27:43Z
date_published: 2023-06-23T00:00:00Z
date_updated: 2024-01-17T08:19:41Z
day: '23'
ddc:
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department:
- _id: KrCh
doi: 10.1145/3585391
ec_funded: 1
external_id:
arxiv:
- '2108.02188'
file:
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checksum: 3bb133eeb27ec01649a9a36445d952d9
content_type: application/pdf
creator: dernst
date_created: 2024-01-16T08:11:24Z
date_updated: 2024-01-16T08:11:24Z
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file_name: 2023_FormalAspectsComputing_Chatterjee.pdf
file_size: 502522
relation: main_file
success: 1
file_date_updated: 2024-01-16T08:11:24Z
has_accepted_license: '1'
intvolume: ' 35'
issue: '2'
keyword:
- Theoretical Computer Science
- Software
language:
- iso: eng
month: '06'
oa: 1
oa_version: Published Version
project:
- _id: 0599E47C-7A3F-11EA-A408-12923DDC885E
call_identifier: H2020
grant_number: '863818'
name: 'Formal Methods for Stochastic Models: Algorithms and Applications'
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call_identifier: H2020
grant_number: '665385'
name: International IST Doctoral Program
publication: Formal Aspects of Computing
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eissn:
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issn:
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publication_status: published
publisher: Association for Computing Machinery
quality_controlled: '1'
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status: public
title: On lexicographic proof rules for probabilistic termination
tmp:
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legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 35
year: '2023'
...
---
_id: '14456'
abstract:
- lang: eng
text: In this paper, we present novel algorithms that efficiently compute a shortest
reconfiguration sequence between two given dominating sets in trees and interval
graphs under the TOKEN SLIDING model. In this problem, a graph is provided along
with its two dominating sets, which can be imagined as tokens placed on vertices.
The objective is to find a shortest sequence of dominating sets that transforms
one set into the other, with each set in the sequence resulting from sliding a
single token in the previous set. While identifying any sequence has been well
studied, our work presents the first polynomial algorithms for this optimization
variant in the context of dominating sets.
alternative_title:
- LNCS
article_processing_charge: No
author:
- first_name: Jan Matyáš
full_name: Křišťan, Jan Matyáš
last_name: Křišťan
- first_name: Jakub
full_name: Svoboda, Jakub
id: 130759D2-D7DD-11E9-87D2-DE0DE6697425
last_name: Svoboda
orcid: 0000-0002-1419-3267
citation:
ama: 'Křišťan JM, Svoboda J. Shortest dominating set reconfiguration under token
sliding. In: 24th International Symposium on Fundamentals of Computation Theory.
Vol 14292. Springer Nature; 2023:333-347. doi:10.1007/978-3-031-43587-4_24'
apa: 'Křišťan, J. M., & Svoboda, J. (2023). Shortest dominating set reconfiguration
under token sliding. In 24th International Symposium on Fundamentals of Computation
Theory (Vol. 14292, pp. 333–347). Trier, Germany: Springer Nature. https://doi.org/10.1007/978-3-031-43587-4_24'
chicago: Křišťan, Jan Matyáš, and Jakub Svoboda. “Shortest Dominating Set Reconfiguration
under Token Sliding.” In 24th International Symposium on Fundamentals of Computation
Theory, 14292:333–47. Springer Nature, 2023. https://doi.org/10.1007/978-3-031-43587-4_24.
ieee: J. M. Křišťan and J. Svoboda, “Shortest dominating set reconfiguration under
token sliding,” in 24th International Symposium on Fundamentals of Computation
Theory, Trier, Germany, 2023, vol. 14292, pp. 333–347.
ista: 'Křišťan JM, Svoboda J. 2023. Shortest dominating set reconfiguration under
token sliding. 24th International Symposium on Fundamentals of Computation Theory.
FCT: Fundamentals of Computation Theory, LNCS, vol. 14292, 333–347.'
mla: Křišťan, Jan Matyáš, and Jakub Svoboda. “Shortest Dominating Set Reconfiguration
under Token Sliding.” 24th International Symposium on Fundamentals of Computation
Theory, vol. 14292, Springer Nature, 2023, pp. 333–47, doi:10.1007/978-3-031-43587-4_24.
short: J.M. Křišťan, J. Svoboda, in:, 24th International Symposium on Fundamentals
of Computation Theory, Springer Nature, 2023, pp. 333–347.
conference:
end_date: 2023-09-21
location: Trier, Germany
name: 'FCT: Fundamentals of Computation Theory'
start_date: 2023-09-18
date_created: 2023-10-29T23:01:16Z
date_published: 2023-09-21T00:00:00Z
date_updated: 2024-01-22T08:10:49Z
day: '21'
department:
- _id: KrCh
doi: 10.1007/978-3-031-43587-4_24
external_id:
arxiv:
- '2307.10847'
intvolume: ' 14292'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.48550/arXiv.2307.10847
month: '09'
oa: 1
oa_version: Preprint
page: 333-347
publication: 24th International Symposium on Fundamentals of Computation Theory
publication_identifier:
eissn:
- 1611-3349
isbn:
- '9783031435867'
issn:
- 0302-9743
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
related_material:
link:
- relation: erratum
url: https://doi.org/10.1007/978-3-031-43587-4_31
scopus_import: '1'
status: public
title: Shortest dominating set reconfiguration under token sliding
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 14292
year: '2023'
...
---
_id: '14830'
abstract:
- lang: eng
text: We study the problem of learning controllers for discrete-time non-linear
stochastic dynamical systems with formal reach-avoid guarantees. This work presents
the first method for providing formal reach-avoid guarantees, which combine and
generalize stability and safety guarantees, with a tolerable probability threshold
p in [0,1] over the infinite time horizon. Our method leverages advances in machine
learning literature and it represents formal certificates as neural networks.
In particular, we learn a certificate in the form of a reach-avoid supermartingale
(RASM), a novel notion that we introduce in this work. Our RASMs provide reachability
and avoidance guarantees by imposing constraints on what can be viewed as a stochastic
extension of level sets of Lyapunov functions for deterministic systems. Our approach
solves several important problems -- it can be used to learn a control policy
from scratch, to verify a reach-avoid specification for a fixed control policy,
or to fine-tune a pre-trained policy if it does not satisfy the reach-avoid specification.
We validate our approach on 3 stochastic non-linear reinforcement learning tasks.
acknowledgement: This work was supported in part by the ERC-2020-AdG 101020093, ERC
CoG 863818 (FoRM-SMArt) and the European Union’s Horizon 2020 research and innovation
programme under the Marie Skłodowska-Curie Grant Agreement No. 665385.
article_processing_charge: No
author:
- first_name: Dorde
full_name: Zikelic, Dorde
id: 294AA7A6-F248-11E8-B48F-1D18A9856A87
last_name: Zikelic
orcid: 0000-0002-4681-1699
- first_name: Mathias
full_name: Lechner, Mathias
id: 3DC22916-F248-11E8-B48F-1D18A9856A87
last_name: Lechner
- first_name: Thomas A
full_name: Henzinger, Thomas A
id: 40876CD8-F248-11E8-B48F-1D18A9856A87
last_name: Henzinger
orcid: 0000-0002-2985-7724
- first_name: Krishnendu
full_name: Chatterjee, Krishnendu
id: 2E5DCA20-F248-11E8-B48F-1D18A9856A87
last_name: Chatterjee
orcid: 0000-0002-4561-241X
citation:
ama: 'Zikelic D, Lechner M, Henzinger TA, Chatterjee K. Learning control policies
for stochastic systems with reach-avoid guarantees. In: Proceedings of the
37th AAAI Conference on Artificial Intelligence. Vol 37. Association for the
Advancement of Artificial Intelligence; 2023:11926-11935. doi:10.1609/aaai.v37i10.26407'
apa: 'Zikelic, D., Lechner, M., Henzinger, T. A., & Chatterjee, K. (2023). Learning
control policies for stochastic systems with reach-avoid guarantees. In Proceedings
of the 37th AAAI Conference on Artificial Intelligence (Vol. 37, pp. 11926–11935).
Washington, DC, United States: Association for the Advancement of Artificial Intelligence.
https://doi.org/10.1609/aaai.v37i10.26407'
chicago: Zikelic, Dorde, Mathias Lechner, Thomas A Henzinger, and Krishnendu Chatterjee.
“Learning Control Policies for Stochastic Systems with Reach-Avoid Guarantees.”
In Proceedings of the 37th AAAI Conference on Artificial Intelligence,
37:11926–35. Association for the Advancement of Artificial Intelligence, 2023.
https://doi.org/10.1609/aaai.v37i10.26407.
ieee: D. Zikelic, M. Lechner, T. A. Henzinger, and K. Chatterjee, “Learning control
policies for stochastic systems with reach-avoid guarantees,” in Proceedings
of the 37th AAAI Conference on Artificial Intelligence, Washington, DC, United
States, 2023, vol. 37, no. 10, pp. 11926–11935.
ista: 'Zikelic D, Lechner M, Henzinger TA, Chatterjee K. 2023. Learning control
policies for stochastic systems with reach-avoid guarantees. Proceedings of the
37th AAAI Conference on Artificial Intelligence. AAAI: Conference on Artificial
Intelligence vol. 37, 11926–11935.'
mla: Zikelic, Dorde, et al. “Learning Control Policies for Stochastic Systems with
Reach-Avoid Guarantees.” Proceedings of the 37th AAAI Conference on Artificial
Intelligence, vol. 37, no. 10, Association for the Advancement of Artificial
Intelligence, 2023, pp. 11926–35, doi:10.1609/aaai.v37i10.26407.
short: D. Zikelic, M. Lechner, T.A. Henzinger, K. Chatterjee, in:, Proceedings of
the 37th AAAI Conference on Artificial Intelligence, Association for the Advancement
of Artificial Intelligence, 2023, pp. 11926–11935.
conference:
end_date: 2023-02-14
location: Washington, DC, United States
name: 'AAAI: Conference on Artificial Intelligence'
start_date: 2023-02-07
date_created: 2024-01-18T07:44:31Z
date_published: 2023-06-26T00:00:00Z
date_updated: 2024-01-22T14:08:29Z
day: '26'
department:
- _id: ToHe
- _id: KrCh
doi: 10.1609/aaai.v37i10.26407
ec_funded: 1
external_id:
arxiv:
- '2210.05308'
intvolume: ' 37'
issue: '10'
keyword:
- General Medicine
language:
- iso: eng
month: '06'
oa_version: Preprint
page: 11926-11935
project:
- _id: 62781420-2b32-11ec-9570-8d9b63373d4d
call_identifier: H2020
grant_number: '101020093'
name: Vigilant Algorithmic Monitoring of Software
- _id: 0599E47C-7A3F-11EA-A408-12923DDC885E
call_identifier: H2020
grant_number: '863818'
name: 'Formal Methods for Stochastic Models: Algorithms and Applications'
- _id: 2564DBCA-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '665385'
name: International IST Doctoral Program
publication: Proceedings of the 37th AAAI Conference on Artificial Intelligence
publication_identifier:
eissn:
- 2374-3468
issn:
- 2159-5399
publication_status: published
publisher: Association for the Advancement of Artificial Intelligence
quality_controlled: '1'
related_material:
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- id: '14600'
relation: earlier_version
status: public
status: public
title: Learning control policies for stochastic systems with reach-avoid guarantees
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 37
year: '2023'
...
---
_id: '13139'
abstract:
- lang: eng
text: A classical problem for Markov chains is determining their stationary (or
steady-state) distribution. This problem has an equally classical solution based
on eigenvectors and linear equation systems. However, this approach does not scale
to large instances, and iterative solutions are desirable. It turns out that a
naive approach, as used by current model checkers, may yield completely wrong
results. We present a new approach, which utilizes recent advances in partial
exploration and mean payoff computation to obtain a correct, converging approximation.
alternative_title:
- LNCS
article_processing_charge: No
author:
- first_name: Tobias
full_name: Meggendorfer, Tobias
id: b21b0c15-30a2-11eb-80dc-f13ca25802e1
last_name: Meggendorfer
orcid: 0000-0002-1712-2165
citation:
ama: 'Meggendorfer T. Correct approximation of stationary distributions. In: TACAS
2023: Tools and Algorithms for the Construction and Analysis of Systems. Vol
13993. Springer Nature; 2023:489-507. doi:10.1007/978-3-031-30823-9_25'
apa: 'Meggendorfer, T. (2023). Correct approximation of stationary distributions.
In TACAS 2023: Tools and Algorithms for the Construction and Analysis of Systems
(Vol. 13993, pp. 489–507). Paris, France: Springer Nature. https://doi.org/10.1007/978-3-031-30823-9_25'
chicago: 'Meggendorfer, Tobias. “Correct Approximation of Stationary Distributions.”
In TACAS 2023: Tools and Algorithms for the Construction and Analysis of Systems,
13993:489–507. Springer Nature, 2023. https://doi.org/10.1007/978-3-031-30823-9_25.'
ieee: 'T. Meggendorfer, “Correct approximation of stationary distributions,” in
TACAS 2023: Tools and Algorithms for the Construction and Analysis of Systems,
Paris, France, 2023, vol. 13993, pp. 489–507.'
ista: 'Meggendorfer T. 2023. Correct approximation of stationary distributions.
TACAS 2023: Tools and Algorithms for the Construction and Analysis of Systems.
TACAS: Tools and Algorithms for the Construction and Analysis of Systems, LNCS,
vol. 13993, 489–507.'
mla: 'Meggendorfer, Tobias. “Correct Approximation of Stationary Distributions.”
TACAS 2023: Tools and Algorithms for the Construction and Analysis of Systems,
vol. 13993, Springer Nature, 2023, pp. 489–507, doi:10.1007/978-3-031-30823-9_25.'
short: 'T. Meggendorfer, in:, TACAS 2023: Tools and Algorithms for the Construction
and Analysis of Systems, Springer Nature, 2023, pp. 489–507.'
conference:
end_date: 2023-04-27
location: Paris, France
name: 'TACAS: Tools and Algorithms for the Construction and Analysis of Systems'
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date_created: 2023-06-18T22:00:46Z
date_published: 2023-04-22T00:00:00Z
date_updated: 2024-02-27T07:19:33Z
day: '22'
ddc:
- '000'
department:
- _id: KrCh
doi: 10.1007/978-3-031-30823-9_25
external_id:
arxiv:
- '2301.08137'
file:
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checksum: 59f707a3949c03793251b0d04c62542a
content_type: application/pdf
creator: dernst
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oa: 1
oa_version: Published Version
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publication: 'TACAS 2023: Tools and Algorithms for the Construction and Analysis of
Systems'
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eissn:
- 1611-3349
isbn:
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issn:
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publisher: Springer Nature
quality_controlled: '1'
related_material:
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relation: research_data
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status: public
title: Correct approximation of stationary distributions
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 13993
year: '2023'
...
---
_id: '14990'
abstract:
- lang: eng
text: The software artefact to evaluate the approximation of stationary distributions
implementation.
article_processing_charge: No
author:
- first_name: Tobias
full_name: Meggendorfer, Tobias
id: b21b0c15-30a2-11eb-80dc-f13ca25802e1
last_name: Meggendorfer
orcid: 0000-0002-1712-2165
citation:
ama: 'Meggendorfer T. Artefact for: Correct Approximation of Stationary Distributions.
2023. doi:10.5281/ZENODO.7548214'
apa: 'Meggendorfer, T. (2023). Artefact for: Correct Approximation of Stationary
Distributions. Zenodo. https://doi.org/10.5281/ZENODO.7548214'
chicago: 'Meggendorfer, Tobias. “Artefact for: Correct Approximation of Stationary
Distributions.” Zenodo, 2023. https://doi.org/10.5281/ZENODO.7548214.'
ieee: 'T. Meggendorfer, “Artefact for: Correct Approximation of Stationary Distributions.”
Zenodo, 2023.'
ista: 'Meggendorfer T. 2023. Artefact for: Correct Approximation of Stationary Distributions,
Zenodo, 10.5281/ZENODO.7548214.'
mla: 'Meggendorfer, Tobias. Artefact for: Correct Approximation of Stationary
Distributions. Zenodo, 2023, doi:10.5281/ZENODO.7548214.'
short: T. Meggendorfer, (2023).
date_created: 2024-02-14T14:27:06Z
date_published: 2023-01-18T00:00:00Z
date_updated: 2024-02-27T07:19:32Z
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ddc:
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doi: 10.5281/ZENODO.7548214
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main_file_link:
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related_material:
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title: 'Artefact for: Correct Approximation of Stationary Distributions'
tmp:
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legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
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type: research_data_reference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2023'
...
---
_id: '15023'
abstract:
- lang: eng
text: Reinforcement learning has shown promising results in learning neural network
policies for complicated control tasks. However, the lack of formal guarantees
about the behavior of such policies remains an impediment to their deployment.
We propose a novel method for learning a composition of neural network policies
in stochastic environments, along with a formal certificate which guarantees that
a specification over the policy's behavior is satisfied with the desired probability.
Unlike prior work on verifiable RL, our approach leverages the compositional nature
of logical specifications provided in SpectRL, to learn over graphs of probabilistic
reach-avoid specifications. The formal guarantees are provided by learning neural
network policies together with reach-avoid supermartingales (RASM) for the graph’s
sub-tasks and then composing them into a global policy. We also derive a tighter
lower bound compared to previous work on the probability of reach-avoidance implied
by a RASM, which is required to find a compositional policy with an acceptable
probabilistic threshold for complex tasks with multiple edge policies. We implement
a prototype of our approach and evaluate it on a Stochastic Nine Rooms environment.
acknowledgement: "This work was supported in part by the ERC-2020-AdG 101020093 (VAMOS)
and the ERC-2020-\r\nCoG 863818 (FoRM-SMArt)."
article_processing_charge: No
author:
- first_name: Dorde
full_name: Zikelic, Dorde
id: 294AA7A6-F248-11E8-B48F-1D18A9856A87
last_name: Zikelic
orcid: 0000-0002-4681-1699
- first_name: Mathias
full_name: Lechner, Mathias
id: 3DC22916-F248-11E8-B48F-1D18A9856A87
last_name: Lechner
- first_name: Abhinav
full_name: Verma, Abhinav
id: a235593c-d7fa-11eb-a0c5-b22ca3c66ee6
last_name: Verma
- first_name: Krishnendu
full_name: Chatterjee, Krishnendu
id: 2E5DCA20-F248-11E8-B48F-1D18A9856A87
last_name: Chatterjee
orcid: 0000-0002-4561-241X
- first_name: Thomas A
full_name: Henzinger, Thomas A
id: 40876CD8-F248-11E8-B48F-1D18A9856A87
last_name: Henzinger
orcid: 0000-0002-2985-7724
citation:
ama: 'Zikelic D, Lechner M, Verma A, Chatterjee K, Henzinger TA. Compositional policy
learning in stochastic control systems with formal guarantees. In: 37th Conference
on Neural Information Processing Systems. ; 2023.'
apa: Zikelic, D., Lechner, M., Verma, A., Chatterjee, K., & Henzinger, T. A.
(2023). Compositional policy learning in stochastic control systems with formal
guarantees. In 37th Conference on Neural Information Processing Systems.
New Orleans, LO, United States.
chicago: Zikelic, Dorde, Mathias Lechner, Abhinav Verma, Krishnendu Chatterjee,
and Thomas A Henzinger. “Compositional Policy Learning in Stochastic Control Systems
with Formal Guarantees.” In 37th Conference on Neural Information Processing
Systems, 2023.
ieee: D. Zikelic, M. Lechner, A. Verma, K. Chatterjee, and T. A. Henzinger, “Compositional
policy learning in stochastic control systems with formal guarantees,” in 37th
Conference on Neural Information Processing Systems, New Orleans, LO, United
States, 2023.
ista: 'Zikelic D, Lechner M, Verma A, Chatterjee K, Henzinger TA. 2023. Compositional
policy learning in stochastic control systems with formal guarantees. 37th Conference
on Neural Information Processing Systems. NeurIPS: Neural Information Processing
Systems.'
mla: Zikelic, Dorde, et al. “Compositional Policy Learning in Stochastic Control
Systems with Formal Guarantees.” 37th Conference on Neural Information Processing
Systems, 2023.
short: D. Zikelic, M. Lechner, A. Verma, K. Chatterjee, T.A. Henzinger, in:, 37th
Conference on Neural Information Processing Systems, 2023.
conference:
end_date: 2023-12-16
location: New Orleans, LO, United States
name: 'NeurIPS: Neural Information Processing Systems'
start_date: 2023-12-10
date_created: 2024-02-25T09:23:24Z
date_published: 2023-12-15T00:00:00Z
date_updated: 2024-02-28T12:20:11Z
day: '15'
department:
- _id: ToHe
- _id: KrCh
ec_funded: 1
external_id:
arxiv:
- '2312.01456'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.48550/arXiv.2312.01456
month: '12'
oa: 1
oa_version: Preprint
project:
- _id: 0599E47C-7A3F-11EA-A408-12923DDC885E
call_identifier: H2020
grant_number: '863818'
name: 'Formal Methods for Stochastic Models: Algorithms and Applications'
- _id: 62781420-2b32-11ec-9570-8d9b63373d4d
call_identifier: H2020
grant_number: '101020093'
name: Vigilant Algorithmic Monitoring of Software
publication: 37th Conference on Neural Information Processing Systems
publication_status: epub_ahead
quality_controlled: '1'
status: public
title: Compositional policy learning in stochastic control systems with formal guarantees
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2023'
...
---
_id: '12102'
abstract:
- lang: eng
text: 'Given a Markov chain M = (V, v_0, δ), with state space V and a starting state
v_0, and a probability threshold ε, an ε-core is a subset C of states that is
left with probability at most ε. More formally, C ⊆ V is an ε-core, iff ℙ[reach
(V\C)] ≤ ε. Cores have been applied in a wide variety of verification problems
over Markov chains, Markov decision processes, and probabilistic programs, as
a means of discarding uninteresting and low-probability parts of a probabilistic
system and instead being able to focus on the states that are likely to be encountered
in a real-world run. In this work, we focus on the problem of computing a minimal
ε-core in a Markov chain. Our contributions include both negative and positive
results: (i) We show that the decision problem on the existence of an ε-core of
a given size is NP-complete. This solves an open problem posed in [Jan Kretínský
and Tobias Meggendorfer, 2020]. We additionally show that the problem remains
NP-complete even when limited to acyclic Markov chains with bounded maximal vertex
degree; (ii) We provide a polynomial time algorithm for computing a minimal ε-core
on Markov chains over control-flow graphs of structured programs. A straightforward
combination of our algorithm with standard branch prediction techniques allows
one to apply the idea of cores to find a subset of program lines that are left
with low probability and then focus any desired static analysis on this core subset.'
acknowledgement: "The research was partially supported by the Hong Kong Research Grants
Council ECS\r\nProject No. 26208122, ERC CoG 863818 (FoRM-SMArt), the European Union’s
Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie
Grant Agreement No. 665385, HKUST– Kaisa Joint Research Institute Project Grant
HKJRI3A-055 and HKUST Startup Grant R9272. Ali Ahmadi and Roodabeh Safavi were interns
at HKUST."
article_number: '29'
article_processing_charge: No
author:
- first_name: Ali
full_name: Ahmadi, Ali
last_name: Ahmadi
- first_name: Krishnendu
full_name: Chatterjee, Krishnendu
id: 2E5DCA20-F248-11E8-B48F-1D18A9856A87
last_name: Chatterjee
orcid: 0000-0002-4561-241X
- first_name: Amir Kafshdar
full_name: Goharshady, Amir Kafshdar
id: 391365CE-F248-11E8-B48F-1D18A9856A87
last_name: Goharshady
orcid: 0000-0003-1702-6584
- first_name: Tobias
full_name: Meggendorfer, Tobias
id: b21b0c15-30a2-11eb-80dc-f13ca25802e1
last_name: Meggendorfer
orcid: 0000-0002-1712-2165
- first_name: Roodabeh
full_name: Safavi Hemami, Roodabeh
id: 72ed2640-8972-11ed-ae7b-f9c81ec75154
last_name: Safavi Hemami
- first_name: Dorde
full_name: Zikelic, Dorde
id: 294AA7A6-F248-11E8-B48F-1D18A9856A87
last_name: Zikelic
citation:
ama: 'Ahmadi A, Chatterjee K, Goharshady AK, Meggendorfer T, Safavi Hemami R, Zikelic
D. Algorithms and hardness results for computing cores of Markov chains. In: 42nd
IARCS Annual Conference on Foundations of Software Technology and Theoretical
Computer Science. Vol 250. Schloss Dagstuhl - Leibniz-Zentrum für Informatik;
2022. doi:10.4230/LIPIcs.FSTTCS.2022.29'
apa: 'Ahmadi, A., Chatterjee, K., Goharshady, A. K., Meggendorfer, T., Safavi Hemami,
R., & Zikelic, D. (2022). Algorithms and hardness results for computing cores
of Markov chains. In 42nd IARCS Annual Conference on Foundations of Software
Technology and Theoretical Computer Science (Vol. 250). Madras, India: Schloss
Dagstuhl - Leibniz-Zentrum für Informatik. https://doi.org/10.4230/LIPIcs.FSTTCS.2022.29'
chicago: Ahmadi, Ali, Krishnendu Chatterjee, Amir Kafshdar Goharshady, Tobias Meggendorfer,
Roodabeh Safavi Hemami, and Dorde Zikelic. “Algorithms and Hardness Results for
Computing Cores of Markov Chains.” In 42nd IARCS Annual Conference on Foundations
of Software Technology and Theoretical Computer Science, Vol. 250. Schloss
Dagstuhl - Leibniz-Zentrum für Informatik, 2022. https://doi.org/10.4230/LIPIcs.FSTTCS.2022.29.
ieee: A. Ahmadi, K. Chatterjee, A. K. Goharshady, T. Meggendorfer, R. Safavi Hemami,
and D. Zikelic, “Algorithms and hardness results for computing cores of Markov
chains,” in 42nd IARCS Annual Conference on Foundations of Software Technology
and Theoretical Computer Science, Madras, India, 2022, vol. 250.
ista: 'Ahmadi A, Chatterjee K, Goharshady AK, Meggendorfer T, Safavi Hemami R, Zikelic
D. 2022. Algorithms and hardness results for computing cores of Markov chains.
42nd IARCS Annual Conference on Foundations of Software Technology and Theoretical
Computer Science. FSTTC: Foundations of Software Technology and Theoretical Computer
Science vol. 250, 29.'
mla: Ahmadi, Ali, et al. “Algorithms and Hardness Results for Computing Cores of
Markov Chains.” 42nd IARCS Annual Conference on Foundations of Software Technology
and Theoretical Computer Science, vol. 250, 29, Schloss Dagstuhl - Leibniz-Zentrum
für Informatik, 2022, doi:10.4230/LIPIcs.FSTTCS.2022.29.
short: A. Ahmadi, K. Chatterjee, A.K. Goharshady, T. Meggendorfer, R. Safavi Hemami,
D. Zikelic, in:, 42nd IARCS Annual Conference on Foundations of Software Technology
and Theoretical Computer Science, Schloss Dagstuhl - Leibniz-Zentrum für Informatik,
2022.
conference:
end_date: 2022-12-20
location: Madras, India
name: 'FSTTC: Foundations of Software Technology and Theoretical Computer Science'
start_date: 2022-12-18
date_created: 2023-01-01T23:00:50Z
date_published: 2022-12-14T00:00:00Z
date_updated: 2023-02-07T09:19:43Z
day: '14'
ddc:
- '000'
department:
- _id: KrCh
- _id: GradSch
doi: 10.4230/LIPIcs.FSTTCS.2022.29
ec_funded: 1
file:
- access_level: open_access
checksum: 6660c802489013f034c9e8bd57f4d46e
content_type: application/pdf
creator: dernst
date_created: 2023-01-20T10:39:44Z
date_updated: 2023-01-20T10:39:44Z
file_id: '12324'
file_name: 2022_LIPICs_Ahmadi.pdf
file_size: 872534
relation: main_file
success: 1
file_date_updated: 2023-01-20T10:39:44Z
has_accepted_license: '1'
intvolume: ' 250'
language:
- iso: eng
month: '12'
oa: 1
oa_version: Published Version
project:
- _id: 0599E47C-7A3F-11EA-A408-12923DDC885E
call_identifier: H2020
grant_number: '863818'
name: 'Formal Methods for Stochastic Models: Algorithms and Applications'
- _id: 2564DBCA-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '665385'
name: International IST Doctoral Program
publication: 42nd IARCS Annual Conference on Foundations of Software Technology and
Theoretical Computer Science
publication_identifier:
isbn:
- '9783959772617'
issn:
- 1868-8969
publication_status: published
publisher: Schloss Dagstuhl - Leibniz-Zentrum für Informatik
quality_controlled: '1'
scopus_import: '1'
status: public
title: Algorithms and hardness results for computing cores of Markov chains
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 250
year: '2022'
...
---
_id: '12101'
abstract:
- lang: eng
text: 'Spatial games form a widely-studied class of games from biology and physics
modeling the evolution of social behavior. Formally, such a game is defined by
a square (d by d) payoff matrix M and an undirected graph G. Each vertex of G
represents an individual, that initially follows some strategy i ∈ {1,2,…,d}.
In each round of the game, every individual plays the matrix game with each of
its neighbors: An individual following strategy i meeting a neighbor following
strategy j receives a payoff equal to the entry (i,j) of M. Then, each individual
updates its strategy to its neighbors'' strategy with the highest sum of payoffs,
and the next round starts. The basic computational problems consist of reachability
between configurations and the average frequency of a strategy. For general spatial
games and graphs, these problems are in PSPACE. In this paper, we examine restricted
setting: the game is a prisoner’s dilemma; and G is a subgraph of grid. We prove
that basic computational problems for spatial games with prisoner’s dilemma on
a subgraph of a grid are PSPACE-hard.'
acknowledgement: "Krishnendu Chatterjee: The research was partially supported by the
ERC CoG 863818\r\n(ForM-SMArt).\r\nIsmaël Jecker: The research was partially supported
by the ERC grant 950398 (INFSYS).\r\nJakub Svoboda: The research was partially supported
by the ERC CoG 863818 (ForM-SMArt)"
article_number: 11:1-11:14
article_processing_charge: No
author:
- first_name: Krishnendu
full_name: Chatterjee, Krishnendu
id: 2E5DCA20-F248-11E8-B48F-1D18A9856A87
last_name: Chatterjee
orcid: 0000-0002-4561-241X
- first_name: Rasmus
full_name: Ibsen-Jensen, Rasmus
id: 3B699956-F248-11E8-B48F-1D18A9856A87
last_name: Ibsen-Jensen
orcid: 0000-0003-4783-0389
- first_name: Ismael R
full_name: Jecker, Ismael R
id: 85D7C63E-7D5D-11E9-9C0F-98C4E5697425
last_name: Jecker
- first_name: Jakub
full_name: Svoboda, Jakub
id: 130759D2-D7DD-11E9-87D2-DE0DE6697425
last_name: Svoboda
citation:
ama: 'Chatterjee K, Ibsen-Jensen R, Jecker IR, Svoboda J. Complexity of spatial
games. In: 42nd IARCS Annual Conference on Foundations of Software Technology
and Theoretical Computer Science. Vol 250. Schloss Dagstuhl - Leibniz-Zentrum
für Informatik; 2022. doi:10.4230/LIPIcs.FSTTCS.2022.11'
apa: 'Chatterjee, K., Ibsen-Jensen, R., Jecker, I. R., & Svoboda, J. (2022).
Complexity of spatial games. In 42nd IARCS Annual Conference on Foundations
of Software Technology and Theoretical Computer Science (Vol. 250). Madras,
India: Schloss Dagstuhl - Leibniz-Zentrum für Informatik. https://doi.org/10.4230/LIPIcs.FSTTCS.2022.11'
chicago: Chatterjee, Krishnendu, Rasmus Ibsen-Jensen, Ismael R Jecker, and Jakub
Svoboda. “Complexity of Spatial Games.” In 42nd IARCS Annual Conference on
Foundations of Software Technology and Theoretical Computer Science, Vol.
250. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2022. https://doi.org/10.4230/LIPIcs.FSTTCS.2022.11.
ieee: K. Chatterjee, R. Ibsen-Jensen, I. R. Jecker, and J. Svoboda, “Complexity
of spatial games,” in 42nd IARCS Annual Conference on Foundations of Software
Technology and Theoretical Computer Science, Madras, India, 2022, vol. 250.
ista: 'Chatterjee K, Ibsen-Jensen R, Jecker IR, Svoboda J. 2022. Complexity of spatial
games. 42nd IARCS Annual Conference on Foundations of Software Technology and
Theoretical Computer Science. FSTTC: Foundations of Software Technology and Theoretical
Computer Science vol. 250, 11:1-11:14.'
mla: Chatterjee, Krishnendu, et al. “Complexity of Spatial Games.” 42nd IARCS
Annual Conference on Foundations of Software Technology and Theoretical Computer
Science, vol. 250, 11:1-11:14, Schloss Dagstuhl - Leibniz-Zentrum für Informatik,
2022, doi:10.4230/LIPIcs.FSTTCS.2022.11.
short: K. Chatterjee, R. Ibsen-Jensen, I.R. Jecker, J. Svoboda, in:, 42nd IARCS
Annual Conference on Foundations of Software Technology and Theoretical Computer
Science, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2022.
conference:
end_date: 2022-12-20
location: Madras, India
name: 'FSTTC: Foundations of Software Technology and Theoretical Computer Science'
start_date: 2022-12-18
date_created: 2023-01-01T23:00:50Z
date_published: 2022-12-14T00:00:00Z
date_updated: 2023-02-13T09:06:43Z
day: '14'
ddc:
- '000'
department:
- _id: KrCh
doi: 10.4230/LIPIcs.FSTTCS.2022.11
ec_funded: 1
file:
- access_level: open_access
checksum: a21e3ba2421e2c4a06aa2cb6d530ede1
content_type: application/pdf
creator: dernst
date_created: 2023-01-20T10:19:19Z
date_updated: 2023-01-20T10:19:19Z
file_id: '12323'
file_name: 2022_LIPICs_Chatterjee.pdf
file_size: 657396
relation: main_file
success: 1
file_date_updated: 2023-01-20T10:19:19Z
has_accepted_license: '1'
intvolume: ' 250'
language:
- iso: eng
month: '12'
oa: 1
oa_version: Published Version
project:
- _id: 0599E47C-7A3F-11EA-A408-12923DDC885E
call_identifier: H2020
grant_number: '863818'
name: 'Formal Methods for Stochastic Models: Algorithms and Applications'
publication: 42nd IARCS Annual Conference on Foundations of Software Technology and
Theoretical Computer Science
publication_identifier:
isbn:
- '9783959772617'
issn:
- 1868-8969
publication_status: published
publisher: Schloss Dagstuhl - Leibniz-Zentrum für Informatik
quality_controlled: '1'
scopus_import: '1'
status: public
title: Complexity of spatial games
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 250
year: '2022'
...
---
_id: '12568'
abstract:
- lang: eng
text: We treat the problem of risk-aware control for stochastic shortest path (SSP)
on Markov decision processes (MDP). Typically, expectation is considered for SSP,
which however is oblivious to the incurred risk. We present an alternative view,
instead optimizing conditional value-at-risk (CVaR), an established risk measure.
We treat both Markov chains as well as MDP and introduce, through novel insights,
two algorithms, based on linear programming and value iteration, respectively.
Both algorithms offer precise and provably correct solutions. Evaluation of our
prototype implementation shows that risk-aware control is feasible on several
moderately sized models.
article_processing_charge: No
author:
- first_name: Tobias
full_name: Meggendorfer, Tobias
id: b21b0c15-30a2-11eb-80dc-f13ca25802e1
last_name: Meggendorfer
orcid: 0000-0002-1712-2165
citation:
ama: 'Meggendorfer T. Risk-aware stochastic shortest path. In: Proceedings of
the 36th AAAI Conference on Artificial Intelligence, AAAI 2022. Vol 36. Association
for the Advancement of Artificial Intelligence; 2022:9858-9867. doi:10.1609/aaai.v36i9.21222'
apa: 'Meggendorfer, T. (2022). Risk-aware stochastic shortest path. In Proceedings
of the 36th AAAI Conference on Artificial Intelligence, AAAI 2022 (Vol. 36,
pp. 9858–9867). Virtual: Association for the Advancement of Artificial Intelligence.
https://doi.org/10.1609/aaai.v36i9.21222'
chicago: Meggendorfer, Tobias. “Risk-Aware Stochastic Shortest Path.” In Proceedings
of the 36th AAAI Conference on Artificial Intelligence, AAAI 2022, 36:9858–67.
Association for the Advancement of Artificial Intelligence, 2022. https://doi.org/10.1609/aaai.v36i9.21222.
ieee: T. Meggendorfer, “Risk-aware stochastic shortest path,” in Proceedings
of the 36th AAAI Conference on Artificial Intelligence, AAAI 2022, Virtual,
2022, vol. 36, no. 9, pp. 9858–9867.
ista: Meggendorfer T. 2022. Risk-aware stochastic shortest path. Proceedings of
the 36th AAAI Conference on Artificial Intelligence, AAAI 2022. Conference on
Artificial Intelligence vol. 36, 9858–9867.
mla: Meggendorfer, Tobias. “Risk-Aware Stochastic Shortest Path.” Proceedings
of the 36th AAAI Conference on Artificial Intelligence, AAAI 2022, vol. 36,
no. 9, Association for the Advancement of Artificial Intelligence, 2022, pp. 9858–67,
doi:10.1609/aaai.v36i9.21222.
short: T. Meggendorfer, in:, Proceedings of the 36th AAAI Conference on Artificial
Intelligence, AAAI 2022, Association for the Advancement of Artificial Intelligence,
2022, pp. 9858–9867.
conference:
end_date: 2022-03-01
location: Virtual
name: Conference on Artificial Intelligence
start_date: 2022-02-22
date_created: 2023-02-19T23:00:56Z
date_published: 2022-06-28T00:00:00Z
date_updated: 2023-02-20T07:19:12Z
day: '28'
department:
- _id: KrCh
doi: 10.1609/aaai.v36i9.21222
external_id:
arxiv:
- '2203.01640'
intvolume: ' 36'
issue: '9'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: ' https://doi.org/10.48550/arXiv.2203.01640'
month: '06'
oa: 1
oa_version: Preprint
page: 9858-9867
publication: Proceedings of the 36th AAAI Conference on Artificial Intelligence, AAAI
2022
publication_identifier:
eissn:
- 2374-3468
isbn:
- '1577358767'
publication_status: published
publisher: Association for the Advancement of Artificial Intelligence
quality_controlled: '1'
scopus_import: '1'
status: public
title: Risk-aware stochastic shortest path
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 36
year: '2022'
...
---
_id: '11938'
abstract:
- lang: eng
text: A matching is compatible to two or more labeled point sets of size n with
labels {1, . . . , n} if its straight-line drawing on each of these point sets
is crossing-free. We study the maximum number of edges in a matching compatible
to two or more labeled point sets in general position in the plane. We show that
for any two labeled sets of n points in convex position there exists a compatible
matching with ⌊√2n + 1 − 1⌋ edges. More generally, for any ℓ labeled point sets
we construct compatible matchings of size Ω(n1/ℓ). As a corresponding upper bound,
we use probabilistic arguments to show that for any ℓ given sets of n points there
exists a labeling of each set such that the largest compatible matching has O(n2/(ℓ+1))
edges. Finally, we show that Θ(log n) copies of any set of n points are necessary
and sufficient for the existence of labelings of these point sets such that any
compatible matching consists only of a single edge.
acknowledgement: 'A.A. funded by the Marie Sklodowska-Curie grant agreement No 754411.
Z.M. partially funded by Wittgenstein Prize, Austrian Science Fund (FWF), grant
no. Z 342-N31. I.P., D.P., and B.V. partially supported by FWF within the collaborative
DACH project Arrangements and Drawings as FWF project I 3340-N35. A.P. supported
by a Schrödinger fellowship of the FWF: J-3847-N35. J.T. partially supported by
ERC Start grant no. (279307: Graph Games), FWF grant no. P23499-N23 and S11407-N23
(RiSE).'
article_processing_charge: No
article_type: original
author:
- first_name: Oswin
full_name: Aichholzer, Oswin
last_name: Aichholzer
- first_name: Alan M
full_name: Arroyo Guevara, Alan M
id: 3207FDC6-F248-11E8-B48F-1D18A9856A87
last_name: Arroyo Guevara
orcid: 0000-0003-2401-8670
- first_name: Zuzana
full_name: Masárová, Zuzana
id: 45CFE238-F248-11E8-B48F-1D18A9856A87
last_name: Masárová
orcid: 0000-0002-6660-1322
- first_name: Irene
full_name: Parada, Irene
last_name: Parada
- first_name: Daniel
full_name: Perz, Daniel
last_name: Perz
- first_name: Alexander
full_name: Pilz, Alexander
last_name: Pilz
- first_name: Josef
full_name: Tkadlec, Josef
id: 3F24CCC8-F248-11E8-B48F-1D18A9856A87
last_name: Tkadlec
orcid: 0000-0002-1097-9684
- first_name: Birgit
full_name: Vogtenhuber, Birgit
last_name: Vogtenhuber
citation:
ama: Aichholzer O, Arroyo Guevara AM, Masárová Z, et al. On compatible matchings.
Journal of Graph Algorithms and Applications. 2022;26(2):225-240. doi:10.7155/jgaa.00591
apa: Aichholzer, O., Arroyo Guevara, A. M., Masárová, Z., Parada, I., Perz, D.,
Pilz, A., … Vogtenhuber, B. (2022). On compatible matchings. Journal of Graph
Algorithms and Applications. Brown University. https://doi.org/10.7155/jgaa.00591
chicago: Aichholzer, Oswin, Alan M Arroyo Guevara, Zuzana Masárová, Irene Parada,
Daniel Perz, Alexander Pilz, Josef Tkadlec, and Birgit Vogtenhuber. “On Compatible
Matchings.” Journal of Graph Algorithms and Applications. Brown University,
2022. https://doi.org/10.7155/jgaa.00591.
ieee: O. Aichholzer et al., “On compatible matchings,” Journal of Graph
Algorithms and Applications, vol. 26, no. 2. Brown University, pp. 225–240,
2022.
ista: Aichholzer O, Arroyo Guevara AM, Masárová Z, Parada I, Perz D, Pilz A, Tkadlec
J, Vogtenhuber B. 2022. On compatible matchings. Journal of Graph Algorithms and
Applications. 26(2), 225–240.
mla: Aichholzer, Oswin, et al. “On Compatible Matchings.” Journal of Graph Algorithms
and Applications, vol. 26, no. 2, Brown University, 2022, pp. 225–40, doi:10.7155/jgaa.00591.
short: O. Aichholzer, A.M. Arroyo Guevara, Z. Masárová, I. Parada, D. Perz, A. Pilz,
J. Tkadlec, B. Vogtenhuber, Journal of Graph Algorithms and Applications 26 (2022)
225–240.
date_created: 2022-08-21T22:01:56Z
date_published: 2022-06-01T00:00:00Z
date_updated: 2023-02-23T13:54:21Z
day: '01'
ddc:
- '000'
department:
- _id: UlWa
- _id: HeEd
- _id: KrCh
doi: 10.7155/jgaa.00591
ec_funded: 1
external_id:
arxiv:
- '2101.03928'
file:
- access_level: open_access
checksum: dc6e255e3558faff924fd9e370886c11
content_type: application/pdf
creator: dernst
date_created: 2022-08-22T06:42:42Z
date_updated: 2022-08-22T06:42:42Z
file_id: '11940'
file_name: 2022_JourGraphAlgorithmsApplic_Aichholzer.pdf
file_size: 694538
relation: main_file
success: 1
file_date_updated: 2022-08-22T06:42:42Z
has_accepted_license: '1'
intvolume: ' 26'
issue: '2'
language:
- iso: eng
month: '06'
oa: 1
oa_version: Published Version
page: 225-240
project:
- _id: 260C2330-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '754411'
name: ISTplus - Postdoctoral Fellowships
- _id: 268116B8-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: Z00342
name: The Wittgenstein Prize
- _id: 2581B60A-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '279307'
name: 'Quantitative Graph Games: Theory and Applications'
- _id: 2584A770-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: P 23499-N23
name: Modern Graph Algorithmic Techniques in Formal Verification
- _id: 25863FF4-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: S11407
name: Game Theory
publication: Journal of Graph Algorithms and Applications
publication_identifier:
issn:
- 1526-1719
publication_status: published
publisher: Brown University
quality_controlled: '1'
related_material:
record:
- id: '9296'
relation: earlier_version
status: public
scopus_import: '1'
status: public
title: On compatible matchings
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 26
year: '2022'
...
---
_id: '12677'
abstract:
- lang: eng
text: "In modern sample-driven Prophet Inequality, an adversary chooses a sequence
of n items with values v1,v2,…,vn to be presented to a decision maker (DM). The
process follows in two phases. In the first phase (sampling phase), some items,
possibly selected at random, are revealed to the DM, but she can never accept
them. In the second phase, the DM is presented with the other items in a random
order and online fashion. For each item, she must make an irrevocable decision
to either accept the item and stop the process or reject the item forever and
proceed to the next item. The goal of the DM is to maximize the expected value
as compared to a Prophet (or offline algorithm) that has access to all information.
In this setting, the sampling phase has no cost and is not part of the optimization
process. However, in many scenarios, the samples are obtained as part of the decision-making
process.\r\nWe model this aspect as a two-phase Prophet Inequality where an adversary
chooses a sequence of 2n items with values v1,v2,…,v2n and the items are randomly
ordered. Finally, there are two phases of the Prophet Inequality problem with
the first n-items and the rest of the items, respectively. We show that some basic
algorithms achieve a ratio of at most 0.450. We present an algorithm that achieves
a ratio of at least 0.495. Finally, we show that for every algorithm the ratio
it can achieve is at most 0.502. Hence our algorithm is near-optimal."
acknowledgement: This research was partially supported by the ERC CoG 863818 (ForM-SMArt)
grant.
article_number: '2209.14368'
article_processing_charge: No
author:
- first_name: Krishnendu
full_name: Chatterjee, Krishnendu
id: 2E5DCA20-F248-11E8-B48F-1D18A9856A87
last_name: Chatterjee
orcid: 0000-0002-4561-241X
- first_name: Mona
full_name: Mohammadi, Mona
id: 4363614d-b686-11ed-a7d5-ac9e4a24bc2e
last_name: Mohammadi
- first_name: Raimundo J
full_name: Saona Urmeneta, Raimundo J
id: BD1DF4C4-D767-11E9-B658-BC13E6697425
last_name: Saona Urmeneta
orcid: 0000-0001-5103-038X
citation:
ama: Chatterjee K, Mohammadi M, Saona Urmeneta RJ. Repeated prophet inequality with
near-optimal bounds. arXiv. doi:10.48550/ARXIV.2209.14368
apa: Chatterjee, K., Mohammadi, M., & Saona Urmeneta, R. J. (n.d.). Repeated
prophet inequality with near-optimal bounds. arXiv. https://doi.org/10.48550/ARXIV.2209.14368
chicago: Chatterjee, Krishnendu, Mona Mohammadi, and Raimundo J Saona Urmeneta.
“Repeated Prophet Inequality with Near-Optimal Bounds.” ArXiv, n.d. https://doi.org/10.48550/ARXIV.2209.14368.
ieee: K. Chatterjee, M. Mohammadi, and R. J. Saona Urmeneta, “Repeated prophet inequality
with near-optimal bounds,” arXiv. .
ista: Chatterjee K, Mohammadi M, Saona Urmeneta RJ. Repeated prophet inequality
with near-optimal bounds. arXiv, 2209.14368.
mla: Chatterjee, Krishnendu, et al. “Repeated Prophet Inequality with Near-Optimal
Bounds.” ArXiv, 2209.14368, doi:10.48550/ARXIV.2209.14368.
short: K. Chatterjee, M. Mohammadi, R.J. Saona Urmeneta, ArXiv (n.d.).
date_created: 2023-02-24T12:21:40Z
date_published: 2022-09-28T00:00:00Z
date_updated: 2023-02-27T10:07:40Z
day: '28'
department:
- _id: GradSch
- _id: KrCh
doi: 10.48550/ARXIV.2209.14368
ec_funded: 1
external_id:
arxiv:
- '2209.14368'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: ' https://doi.org/10.48550/arXiv.2209.14368'
month: '09'
oa: 1
oa_version: Preprint
project:
- _id: 0599E47C-7A3F-11EA-A408-12923DDC885E
call_identifier: H2020
grant_number: '863818'
name: 'Formal Methods for Stochastic Models: Algorithms and Applications'
publication: arXiv
publication_status: submitted
status: public
title: Repeated prophet inequality with near-optimal bounds
type: preprint
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2022'
...
---
_id: '10602'
abstract:
- lang: eng
text: Transforming ω-automata into parity automata is traditionally done using appearance
records. We present an efficient variant of this idea, tailored to Rabin automata,
and several optimizations applicable to all appearance records. We compare the
methods experimentally and show that our method produces significantly smaller
automata than previous approaches.
acknowledgement: This work is partially funded by the German Research Foundation (DFG)
projects Verified Model Checkers (No. 317422601) and Statistical Unbounded Verification
(No. 383882557), and the Alexander von Humboldt Foundation with funds from the German
Federal Ministry of Education and Research. It is an extended version of [21], including
all proofs together with further explanations and examples. Moreover, we provide
a new, more efficient construction based on (total) preorders, unifying previous
optimizations. Experiments are performed with a new, performant implementation,
comparing our approach to the current state of the art.
article_processing_charge: Yes (via OA deal)
article_type: original
author:
- first_name: Jan
full_name: Kretinsky, Jan
id: 44CEF464-F248-11E8-B48F-1D18A9856A87
last_name: Kretinsky
orcid: 0000-0002-8122-2881
- first_name: Tobias
full_name: Meggendorfer, Tobias
id: b21b0c15-30a2-11eb-80dc-f13ca25802e1
last_name: Meggendorfer
orcid: 0000-0002-1712-2165
- first_name: Clara
full_name: Waldmann, Clara
last_name: Waldmann
- first_name: Maximilian
full_name: Weininger, Maximilian
last_name: Weininger
citation:
ama: Kretinsky J, Meggendorfer T, Waldmann C, Weininger M. Index appearance record
with preorders. Acta Informatica. 2022;59:585-618. doi:10.1007/s00236-021-00412-y
apa: Kretinsky, J., Meggendorfer, T., Waldmann, C., & Weininger, M. (2022).
Index appearance record with preorders. Acta Informatica. Springer Nature.
https://doi.org/10.1007/s00236-021-00412-y
chicago: Kretinsky, Jan, Tobias Meggendorfer, Clara Waldmann, and Maximilian Weininger.
“Index Appearance Record with Preorders.” Acta Informatica. Springer Nature,
2022. https://doi.org/10.1007/s00236-021-00412-y.
ieee: J. Kretinsky, T. Meggendorfer, C. Waldmann, and M. Weininger, “Index appearance
record with preorders,” Acta Informatica, vol. 59. Springer Nature, pp.
585–618, 2022.
ista: Kretinsky J, Meggendorfer T, Waldmann C, Weininger M. 2022. Index appearance
record with preorders. Acta Informatica. 59, 585–618.
mla: Kretinsky, Jan, et al. “Index Appearance Record with Preorders.” Acta Informatica,
vol. 59, Springer Nature, 2022, pp. 585–618, doi:10.1007/s00236-021-00412-y.
short: J. Kretinsky, T. Meggendorfer, C. Waldmann, M. Weininger, Acta Informatica
59 (2022) 585–618.
date_created: 2022-01-06T12:37:27Z
date_published: 2022-10-01T00:00:00Z
date_updated: 2023-08-02T13:49:28Z
day: '01'
ddc:
- '000'
department:
- _id: KrCh
doi: 10.1007/s00236-021-00412-y
external_id:
isi:
- '000735765500001'
file:
- access_level: open_access
checksum: bf1c195b6aaf59e8530cf9e3a9d731f7
content_type: application/pdf
creator: cchlebak
date_created: 2022-01-07T07:50:31Z
date_updated: 2022-01-07T07:50:31Z
file_id: '10603'
file_name: 2021_ActaInfor_Křetínský.pdf
file_size: 1066082
relation: main_file
success: 1
file_date_updated: 2022-01-07T07:50:31Z
has_accepted_license: '1'
intvolume: ' 59'
isi: 1
keyword:
- computer networks and communications
- information systems
- software
language:
- iso: eng
month: '10'
oa: 1
oa_version: Published Version
page: 585-618
project:
- _id: B67AFEDC-15C9-11EA-A837-991A96BB2854
name: IST Austria Open Access Fund
publication: Acta Informatica
publication_identifier:
eissn:
- 1432-0525
issn:
- 0001-5903
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
scopus_import: '1'
status: public
title: Index appearance record with preorders
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 59
year: '2022'
...
---
_id: '10731'
abstract:
- lang: eng
text: Motivated by COVID-19, we develop and analyze a simple stochastic model for
the spread of disease in human population. We track how the number of infected
and critically ill people develops over time in order to estimate the demand that
is imposed on the hospital system. To keep this demand under control, we consider
a class of simple policies for slowing down and reopening society and we compare
their efficiency in mitigating the spread of the virus from several different
points of view. We find that in order to avoid overwhelming of the hospital system,
a policy must impose a harsh lockdown or it must react swiftly (or both). While
reacting swiftly is universally beneficial, being harsh pays off only when the
country is patient about reopening and when the neighboring countries coordinate
their mitigation efforts. Our work highlights the importance of acting decisively
when closing down and the importance of patience and coordination between neighboring
countries when reopening.
acknowledgement: 'K.C. acknowledges support from ERC Consolidator Grant No. (863818:
ForM-SMart). A.P. acknowledges support from FWF Grant No. J-4220. M.A.N. acknowledges
support from Office of Naval Research grant N00014-16-1-2914 and from the John Templeton
Foundation.'
article_number: '1526'
article_processing_charge: No
article_type: original
author:
- first_name: Jakub
full_name: Svoboda, Jakub
id: 130759D2-D7DD-11E9-87D2-DE0DE6697425
last_name: Svoboda
- first_name: Josef
full_name: Tkadlec, Josef
last_name: Tkadlec
- first_name: Andreas
full_name: Pavlogiannis, Andreas
id: 49704004-F248-11E8-B48F-1D18A9856A87
last_name: Pavlogiannis
orcid: 0000-0002-8943-0722
- first_name: Krishnendu
full_name: Chatterjee, Krishnendu
id: 2E5DCA20-F248-11E8-B48F-1D18A9856A87
last_name: Chatterjee
orcid: 0000-0002-4561-241X
- first_name: Martin A.
full_name: Nowak, Martin A.
last_name: Nowak
citation:
ama: Svoboda J, Tkadlec J, Pavlogiannis A, Chatterjee K, Nowak MA. Infection dynamics
of COVID-19 virus under lockdown and reopening. Scientific Reports. 2022;12(1).
doi:10.1038/s41598-022-05333-5
apa: Svoboda, J., Tkadlec, J., Pavlogiannis, A., Chatterjee, K., & Nowak, M.
A. (2022). Infection dynamics of COVID-19 virus under lockdown and reopening.
Scientific Reports. Springer Nature. https://doi.org/10.1038/s41598-022-05333-5
chicago: Svoboda, Jakub, Josef Tkadlec, Andreas Pavlogiannis, Krishnendu Chatterjee,
and Martin A. Nowak. “Infection Dynamics of COVID-19 Virus under Lockdown and
Reopening.” Scientific Reports. Springer Nature, 2022. https://doi.org/10.1038/s41598-022-05333-5.
ieee: J. Svoboda, J. Tkadlec, A. Pavlogiannis, K. Chatterjee, and M. A. Nowak, “Infection
dynamics of COVID-19 virus under lockdown and reopening,” Scientific Reports,
vol. 12, no. 1. Springer Nature, 2022.
ista: Svoboda J, Tkadlec J, Pavlogiannis A, Chatterjee K, Nowak MA. 2022. Infection
dynamics of COVID-19 virus under lockdown and reopening. Scientific Reports. 12(1),
1526.
mla: Svoboda, Jakub, et al. “Infection Dynamics of COVID-19 Virus under Lockdown
and Reopening.” Scientific Reports, vol. 12, no. 1, 1526, Springer Nature,
2022, doi:10.1038/s41598-022-05333-5.
short: J. Svoboda, J. Tkadlec, A. Pavlogiannis, K. Chatterjee, M.A. Nowak, Scientific
Reports 12 (2022).
date_created: 2022-02-06T23:01:30Z
date_published: 2022-01-27T00:00:00Z
date_updated: 2023-08-02T14:13:07Z
day: '27'
ddc:
- '570'
department:
- _id: KrCh
doi: 10.1038/s41598-022-05333-5
ec_funded: 1
external_id:
arxiv:
- '2012.15155'
isi:
- '000749198000039'
file:
- access_level: open_access
checksum: 247afd30c173390940f099ead35a28ed
content_type: application/pdf
creator: alisjak
date_created: 2022-02-07T14:57:59Z
date_updated: 2022-02-07T14:57:59Z
file_id: '10744'
file_name: 2022_ScientificReports_Svoboda.pdf
file_size: 2971922
relation: main_file
success: 1
file_date_updated: 2022-02-07T14:57:59Z
has_accepted_license: '1'
intvolume: ' 12'
isi: 1
issue: '1'
language:
- iso: eng
month: '01'
oa: 1
oa_version: Published Version
project:
- _id: 0599E47C-7A3F-11EA-A408-12923DDC885E
call_identifier: H2020
grant_number: '863818'
name: 'Formal Methods for Stochastic Models: Algorithms and Applications'
publication: Scientific Reports
publication_identifier:
eissn:
- 2045-2322
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
scopus_import: '1'
status: public
title: Infection dynamics of COVID-19 virus under lockdown and reopening
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 12
year: '2022'
...
---
_id: '11459'
abstract:
- lang: eng
text: 'We present a novel approach to differential cost analysis that, given a program
revision, attempts to statically bound the difference in resource usage, or cost,
between the two program versions. Differential cost analysis is particularly interesting
because of the many compelling applications for it, such as detecting resource-use
regressions at code-review time or proving the absence of certain side-channel
vulnerabilities. One prior approach to differential cost analysis is to apply
relational reasoning that conceptually constructs a product program on which one
can over-approximate the difference in costs between the two program versions.
However, a significant challenge in any relational approach is effectively aligning
the program versions to get precise results. In this paper, our key insight is
that we can avoid the need for and the limitations of program alignment if, instead,
we bound the difference of two cost-bound summaries rather than directly bounding
the concrete cost difference. In particular, our method computes a threshold value
for the maximal difference in cost between two program versions simultaneously
using two kinds of cost-bound summaries---a potential function that evaluates
to an upper bound for the cost incurred in the first program and an anti-potential
function that evaluates to a lower bound for the cost incurred in the second.
Our method has a number of desirable properties: it can be fully automated, it
allows optimizing the threshold value on relative cost, it is suitable for programs
that are not syntactically similar, and it supports non-determinism. We have evaluated
an implementation of our approach on a number of program pairs collected from
the literature, and we find that our method computes tight threshold values on
relative cost in most examples.'
acknowledgement: "We thank Shaun Willows, Thomas Lugnet, and the Living Room Application
Vending team for suggesting threshold\r\nbounds as a developer-friendly way to interact
with a differential cost analyzer, and we thank Jim Christy, Daniel\r\nSchoepe,
and the Prime Video Automated Reasoning team for their support and helpful suggestions
throughout the\r\nproject. We also thank Michael Emmi for feedback on an earlier
version of this paper. And finally, we thank the anonymous reviewers for their useful
feedback and Aws Albarghouthi for shepherding the final version of the paper. Ðorđe
Žikelić was also partially supported by ERC CoG 863818 (FoRM-SMArt)."
article_processing_charge: No
author:
- first_name: Dorde
full_name: Zikelic, Dorde
id: 294AA7A6-F248-11E8-B48F-1D18A9856A87
last_name: Zikelic
- first_name: Bor-Yuh Evan
full_name: Chang, Bor-Yuh Evan
last_name: Chang
- first_name: Pauline
full_name: Bolignano, Pauline
last_name: Bolignano
- first_name: Franco
full_name: Raimondi, Franco
last_name: Raimondi
citation:
ama: 'Zikelic D, Chang B-YE, Bolignano P, Raimondi F. Differential cost analysis
with simultaneous potentials and anti-potentials. In: Proceedings of the 43rd
ACM SIGPLAN International Conference on Programming Language Design and Implementation.
Association for Computing Machinery; 2022:442-457. doi:10.1145/3519939.3523435'
apa: 'Zikelic, D., Chang, B.-Y. E., Bolignano, P., & Raimondi, F. (2022). Differential
cost analysis with simultaneous potentials and anti-potentials. In Proceedings
of the 43rd ACM SIGPLAN International Conference on Programming Language Design
and Implementation (pp. 442–457). San Diego, CA, United States: Association
for Computing Machinery. https://doi.org/10.1145/3519939.3523435'
chicago: Zikelic, Dorde, Bor-Yuh Evan Chang, Pauline Bolignano, and Franco Raimondi.
“Differential Cost Analysis with Simultaneous Potentials and Anti-Potentials.”
In Proceedings of the 43rd ACM SIGPLAN International Conference on Programming
Language Design and Implementation, 442–57. Association for Computing Machinery,
2022. https://doi.org/10.1145/3519939.3523435.
ieee: D. Zikelic, B.-Y. E. Chang, P. Bolignano, and F. Raimondi, “Differential cost
analysis with simultaneous potentials and anti-potentials,” in Proceedings
of the 43rd ACM SIGPLAN International Conference on Programming Language Design
and Implementation, San Diego, CA, United States, 2022, pp. 442–457.
ista: 'Zikelic D, Chang B-YE, Bolignano P, Raimondi F. 2022. Differential cost analysis
with simultaneous potentials and anti-potentials. Proceedings of the 43rd ACM
SIGPLAN International Conference on Programming Language Design and Implementation.
PLDI: Programming Language Design and Implementation, 442–457.'
mla: Zikelic, Dorde, et al. “Differential Cost Analysis with Simultaneous Potentials
and Anti-Potentials.” Proceedings of the 43rd ACM SIGPLAN International Conference
on Programming Language Design and Implementation, Association for Computing
Machinery, 2022, pp. 442–57, doi:10.1145/3519939.3523435.
short: D. Zikelic, B.-Y.E. Chang, P. Bolignano, F. Raimondi, in:, Proceedings of
the 43rd ACM SIGPLAN International Conference on Programming Language Design and
Implementation, Association for Computing Machinery, 2022, pp. 442–457.
conference:
end_date: 2022-06-17
location: San Diego, CA, United States
name: 'PLDI: Programming Language Design and Implementation'
start_date: 2022-06-13
date_created: 2022-06-21T09:26:15Z
date_published: 2022-06-09T00:00:00Z
date_updated: 2023-08-03T07:22:33Z
day: '09'
ddc:
- '000'
department:
- _id: GradSch
- _id: KrCh
doi: 10.1145/3519939.3523435
ec_funded: 1
external_id:
arxiv:
- '2204.00870'
isi:
- '000850435600030'
file:
- access_level: open_access
checksum: 7eb915a2ca5b5ce4729321f33b2e16e1
content_type: application/pdf
creator: dernst
date_created: 2022-06-27T07:38:21Z
date_updated: 2022-06-27T07:38:21Z
file_id: '11466'
file_name: 2022_PLDI_Zikelic.pdf
file_size: 318697
relation: main_file
success: 1
file_date_updated: 2022-06-27T07:38:21Z
has_accepted_license: '1'
isi: 1
language:
- iso: eng
month: '06'
oa: 1
oa_version: Published Version
page: 442-457
project:
- _id: 0599E47C-7A3F-11EA-A408-12923DDC885E
call_identifier: H2020
grant_number: '863818'
name: 'Formal Methods for Stochastic Models: Algorithms and Applications'
publication: Proceedings of the 43rd ACM SIGPLAN International Conference on Programming
Language Design and Implementation
publication_identifier:
isbn:
- '9781450392655'
publication_status: published
publisher: Association for Computing Machinery
quality_controlled: '1'
scopus_import: '1'
status: public
title: Differential cost analysis with simultaneous potentials and anti-potentials
tmp:
image: /images/cc_by_nc_nd.png
legal_code_url: https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode
name: Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
(CC BY-NC-ND 4.0)
short: CC BY-NC-ND (4.0)
type: conference
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
year: '2022'
...
---
_id: '12257'
abstract:
- lang: eng
text: Structural balance theory is an established framework for studying social
relationships of friendship and enmity. These relationships are modeled by a signed
network whose energy potential measures the level of imbalance, while stochastic
dynamics drives the network toward a state of minimum energy that captures social
balance. It is known that this energy landscape has local minima that can trap
socially aware dynamics, preventing it from reaching balance. Here we first study
the robustness and attractor properties of these local minima. We show that a
stochastic process can reach them from an abundance of initial states and that
some local minima cannot be escaped by mild perturbations of the network. Motivated
by these anomalies, we introduce best-edge dynamics (BED), a new plausible stochastic
process. We prove that BED always reaches balance and that it does so fast in
various interesting settings.
acknowledgement: "K.C. acknowledges support from ERC Start Grant No. (279307: Graph
Games), ERC Consolidator Grant No. (863818: ForM-SMart), and Austrian Science Fund
(FWF)\r\nGrants No. P23499-N23 and No. S11407-N23 (RiSE). This project has received
funding from the European Union’s Horizon 2020 research and innovation programme
under the Marie\r\nSkłodowska-Curie Grant Agreement No. 665385."
article_number: '034321'
article_processing_charge: No
article_type: original
author:
- first_name: Krishnendu
full_name: Chatterjee, Krishnendu
id: 2E5DCA20-F248-11E8-B48F-1D18A9856A87
last_name: Chatterjee
orcid: 0000-0002-4561-241X
- first_name: Jakub
full_name: Svoboda, Jakub
id: 130759D2-D7DD-11E9-87D2-DE0DE6697425
last_name: Svoboda
- first_name: Dorde
full_name: Zikelic, Dorde
id: 294AA7A6-F248-11E8-B48F-1D18A9856A87
last_name: Zikelic
- first_name: Andreas
full_name: Pavlogiannis, Andreas
id: 49704004-F248-11E8-B48F-1D18A9856A87
last_name: Pavlogiannis
orcid: 0000-0002-8943-0722
- first_name: Josef
full_name: Tkadlec, Josef
id: 3F24CCC8-F248-11E8-B48F-1D18A9856A87
last_name: Tkadlec
orcid: 0000-0002-1097-9684
citation:
ama: 'Chatterjee K, Svoboda J, Zikelic D, Pavlogiannis A, Tkadlec J. Social balance
on networks: Local minima and best-edge dynamics. Physical Review E. 2022;106(3).
doi:10.1103/physreve.106.034321'
apa: 'Chatterjee, K., Svoboda, J., Zikelic, D., Pavlogiannis, A., & Tkadlec,
J. (2022). Social balance on networks: Local minima and best-edge dynamics. Physical
Review E. American Physical Society. https://doi.org/10.1103/physreve.106.034321'
chicago: 'Chatterjee, Krishnendu, Jakub Svoboda, Dorde Zikelic, Andreas Pavlogiannis,
and Josef Tkadlec. “Social Balance on Networks: Local Minima and Best-Edge Dynamics.”
Physical Review E. American Physical Society, 2022. https://doi.org/10.1103/physreve.106.034321.'
ieee: 'K. Chatterjee, J. Svoboda, D. Zikelic, A. Pavlogiannis, and J. Tkadlec, “Social
balance on networks: Local minima and best-edge dynamics,” Physical Review
E, vol. 106, no. 3. American Physical Society, 2022.'
ista: 'Chatterjee K, Svoboda J, Zikelic D, Pavlogiannis A, Tkadlec J. 2022. Social
balance on networks: Local minima and best-edge dynamics. Physical Review E. 106(3),
034321.'
mla: 'Chatterjee, Krishnendu, et al. “Social Balance on Networks: Local Minima and
Best-Edge Dynamics.” Physical Review E, vol. 106, no. 3, 034321, American
Physical Society, 2022, doi:10.1103/physreve.106.034321.'
short: K. Chatterjee, J. Svoboda, D. Zikelic, A. Pavlogiannis, J. Tkadlec, Physical
Review E 106 (2022).
date_created: 2023-01-16T09:57:57Z
date_published: 2022-09-29T00:00:00Z
date_updated: 2023-08-04T09:50:44Z
day: '29'
department:
- _id: KrCh
doi: 10.1103/physreve.106.034321
ec_funded: 1
external_id:
arxiv:
- '2210.02394'
isi:
- '000870243100001'
intvolume: ' 106'
isi: 1
issue: '3'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.48550/arXiv.2210.02394
month: '09'
oa: 1
oa_version: Preprint
project:
- _id: 2581B60A-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '279307'
name: 'Quantitative Graph Games: Theory and Applications'
- _id: 0599E47C-7A3F-11EA-A408-12923DDC885E
call_identifier: H2020
grant_number: '863818'
name: 'Formal Methods for Stochastic Models: Algorithms and Applications'
- _id: 2584A770-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: P 23499-N23
name: Modern Graph Algorithmic Techniques in Formal Verification
- _id: 25863FF4-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: S11407
name: Game Theory
- _id: 2564DBCA-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '665385'
name: International IST Doctoral Program
publication: Physical Review E
publication_identifier:
eissn:
- 2470-0053
issn:
- 2470-0045
publication_status: published
publisher: American Physical Society
quality_controlled: '1'
scopus_import: '1'
status: public
title: 'Social balance on networks: Local minima and best-edge dynamics'
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 106
year: '2022'
...
---
_id: '12280'
abstract:
- lang: eng
text: 'In repeated interactions, players can use strategies that respond to the
outcome of previous rounds. Much of the existing literature on direct reciprocity
assumes that all competing individuals use the same strategy space. Here, we study
both learning and evolutionary dynamics of players that differ in the strategy
space they explore. We focus on the infinitely repeated donation game and compare
three natural strategy spaces: memory-1 strategies, which consider the last moves
of both players, reactive strategies, which respond to the last move of the co-player,
and unconditional strategies. These three strategy spaces differ in the memory
capacity that is needed. We compute the long term average payoff that is achieved
in a pairwise learning process. We find that smaller strategy spaces can dominate
larger ones. For weak selection, unconditional players dominate both reactive
and memory-1 players. For intermediate selection, reactive players dominate memory-1
players. Only for strong selection and low cost-to-benefit ratio, memory-1 players
dominate the others. We observe that the supergame between strategy spaces can
be a social dilemma: maximum payoff is achieved if both players explore a larger
strategy space, but smaller strategy spaces dominate.'
acknowledgement: "This work was supported by the European Research Council (https://erc.europa.eu/)\r\nCoG
863818 (ForM-SMArt) (to K.C.), and the European Research Council Starting Grant
850529: E-DIRECT (to C.H.). The funders had no role in study design, data collection
and analysis, decision to publish, or preparation of the manuscript."
article_number: e1010149
article_processing_charge: No
article_type: original
author:
- first_name: Laura
full_name: Schmid, Laura
id: 38B437DE-F248-11E8-B48F-1D18A9856A87
last_name: Schmid
orcid: 0000-0002-6978-7329
- first_name: Christian
full_name: Hilbe, Christian
id: 2FDF8F3C-F248-11E8-B48F-1D18A9856A87
last_name: Hilbe
orcid: 0000-0001-5116-955X
- first_name: Krishnendu
full_name: Chatterjee, Krishnendu
id: 2E5DCA20-F248-11E8-B48F-1D18A9856A87
last_name: Chatterjee
orcid: 0000-0002-4561-241X
- first_name: Martin
full_name: Nowak, Martin
last_name: Nowak
citation:
ama: Schmid L, Hilbe C, Chatterjee K, Nowak M. Direct reciprocity between individuals
that use different strategy spaces. PLOS Computational Biology. 2022;18(6).
doi:10.1371/journal.pcbi.1010149
apa: Schmid, L., Hilbe, C., Chatterjee, K., & Nowak, M. (2022). Direct reciprocity
between individuals that use different strategy spaces. PLOS Computational
Biology. Public Library of Science. https://doi.org/10.1371/journal.pcbi.1010149
chicago: Schmid, Laura, Christian Hilbe, Krishnendu Chatterjee, and Martin Nowak.
“Direct Reciprocity between Individuals That Use Different Strategy Spaces.” PLOS
Computational Biology. Public Library of Science, 2022. https://doi.org/10.1371/journal.pcbi.1010149.
ieee: L. Schmid, C. Hilbe, K. Chatterjee, and M. Nowak, “Direct reciprocity between
individuals that use different strategy spaces,” PLOS Computational Biology,
vol. 18, no. 6. Public Library of Science, 2022.
ista: Schmid L, Hilbe C, Chatterjee K, Nowak M. 2022. Direct reciprocity between
individuals that use different strategy spaces. PLOS Computational Biology. 18(6),
e1010149.
mla: Schmid, Laura, et al. “Direct Reciprocity between Individuals That Use Different
Strategy Spaces.” PLOS Computational Biology, vol. 18, no. 6, e1010149,
Public Library of Science, 2022, doi:10.1371/journal.pcbi.1010149.
short: L. Schmid, C. Hilbe, K. Chatterjee, M. Nowak, PLOS Computational Biology
18 (2022).
date_created: 2023-01-16T10:02:51Z
date_published: 2022-06-14T00:00:00Z
date_updated: 2023-08-04T10:27:08Z
day: '14'
ddc:
- '000'
- '570'
department:
- _id: KrCh
doi: 10.1371/journal.pcbi.1010149
ec_funded: 1
external_id:
isi:
- '000843626800031'
pmid:
- '35700167'
file:
- access_level: open_access
checksum: 31b6b311b6731f1658277a9dfff6632c
content_type: application/pdf
creator: dernst
date_created: 2023-01-30T11:28:13Z
date_updated: 2023-01-30T11:28:13Z
file_id: '12460'
file_name: 2022_PlosCompBio_Schmid.pdf
file_size: 3143222
relation: main_file
success: 1
file_date_updated: 2023-01-30T11:28:13Z
has_accepted_license: '1'
intvolume: ' 18'
isi: 1
issue: '6'
keyword:
- Computational Theory and Mathematics
- Cellular and Molecular Neuroscience
- Genetics
- Molecular Biology
- Ecology
- Modeling and Simulation
- Ecology
- Evolution
- Behavior and Systematics
language:
- iso: eng
month: '06'
oa: 1
oa_version: Published Version
pmid: 1
project:
- _id: 0599E47C-7A3F-11EA-A408-12923DDC885E
call_identifier: H2020
grant_number: '863818'
name: 'Formal Methods for Stochastic Models: Algorithms and Applications'
publication: PLOS Computational Biology
publication_identifier:
eissn:
- 1553-7358
publication_status: published
publisher: Public Library of Science
quality_controlled: '1'
scopus_import: '1'
status: public
title: Direct reciprocity between individuals that use different strategy spaces
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 18
year: '2022'
...
---
_id: '9311'
abstract:
- lang: eng
text: 'Partially observable Markov decision processes (POMDPs) are standard models
for dynamic systems with probabilistic and nondeterministic behaviour in uncertain
environments. We prove that in POMDPs with long-run average objective, the decision
maker has approximately optimal strategies with finite memory. This implies notably
that approximating the long-run value is recursively enumerable, as well as a
weak continuity property of the value with respect to the transition function. '
acknowledgement: "Partially supported by Austrian Science Fund (FWF) NFN Grant No
RiSE/SHiNE S11407, by CONICYT Chile through grant PII 20150140, and by ECOS-CONICYT
through grant C15E03.\r\n"
article_processing_charge: No
article_type: original
author:
- first_name: Krishnendu
full_name: Chatterjee, Krishnendu
id: 2E5DCA20-F248-11E8-B48F-1D18A9856A87
last_name: Chatterjee
orcid: 0000-0002-4561-241X
- first_name: Raimundo J
full_name: Saona Urmeneta, Raimundo J
id: BD1DF4C4-D767-11E9-B658-BC13E6697425
last_name: Saona Urmeneta
orcid: 0000-0001-5103-038X
- first_name: Bruno
full_name: Ziliotto, Bruno
last_name: Ziliotto
citation:
ama: Chatterjee K, Saona Urmeneta RJ, Ziliotto B. Finite-memory strategies in POMDPs
with long-run average objectives. Mathematics of Operations Research. 2022;47(1):100-119.
doi:10.1287/moor.2020.1116
apa: Chatterjee, K., Saona Urmeneta, R. J., & Ziliotto, B. (2022). Finite-memory
strategies in POMDPs with long-run average objectives. Mathematics of Operations
Research. Institute for Operations Research and the Management Sciences. https://doi.org/10.1287/moor.2020.1116
chicago: Chatterjee, Krishnendu, Raimundo J Saona Urmeneta, and Bruno Ziliotto.
“Finite-Memory Strategies in POMDPs with Long-Run Average Objectives.” Mathematics
of Operations Research. Institute for Operations Research and the Management
Sciences, 2022. https://doi.org/10.1287/moor.2020.1116.
ieee: K. Chatterjee, R. J. Saona Urmeneta, and B. Ziliotto, “Finite-memory strategies
in POMDPs with long-run average objectives,” Mathematics of Operations Research,
vol. 47, no. 1. Institute for Operations Research and the Management Sciences,
pp. 100–119, 2022.
ista: Chatterjee K, Saona Urmeneta RJ, Ziliotto B. 2022. Finite-memory strategies
in POMDPs with long-run average objectives. Mathematics of Operations Research.
47(1), 100–119.
mla: Chatterjee, Krishnendu, et al. “Finite-Memory Strategies in POMDPs with Long-Run
Average Objectives.” Mathematics of Operations Research, vol. 47, no. 1,
Institute for Operations Research and the Management Sciences, 2022, pp. 100–19,
doi:10.1287/moor.2020.1116.
short: K. Chatterjee, R.J. Saona Urmeneta, B. Ziliotto, Mathematics of Operations
Research 47 (2022) 100–119.
date_created: 2021-04-08T09:33:31Z
date_published: 2022-02-01T00:00:00Z
date_updated: 2023-09-05T13:16:11Z
day: '01'
department:
- _id: GradSch
- _id: KrCh
doi: 10.1287/moor.2020.1116
external_id:
arxiv:
- '1904.13360'
isi:
- '000731918100001'
intvolume: ' 47'
isi: 1
issue: '1'
keyword:
- Management Science and Operations Research
- General Mathematics
- Computer Science Applications
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://arxiv.org/abs/1904.13360
month: '02'
oa: 1
oa_version: Preprint
page: 100-119
project:
- _id: 25863FF4-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: S11407
name: Game Theory
publication: Mathematics of Operations Research
publication_identifier:
eissn:
- 1526-5471
issn:
- 0364-765X
publication_status: published
publisher: Institute for Operations Research and the Management Sciences
quality_controlled: '1'
scopus_import: '1'
status: public
title: Finite-memory strategies in POMDPs with long-run average objectives
type: journal_article
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 47
year: '2022'
...
---
_id: '12170'
abstract:
- lang: eng
text: We present PET, a specialized and highly optimized framework for partial exploration
on probabilistic systems. Over the last decade, several significant advances in
the analysis of Markov decision processes employed partial exploration. In a nutshell,
this idea allows to focus computation on specific parts of the system, guided
by heuristics, while maintaining correctness. In particular, only relevant parts
of the system are constructed on demand, which in turn potentially allows to omit
constructing large parts of the system. Depending on the model, this leads to
dramatic speed-ups, in extreme cases even up to an arbitrary factor. PET unifies
several previous implementations and provides a flexible framework to easily implement
partial exploration for many further problems. Our experimental evaluation shows
significant improvements compared to the previous implementations while vastly
reducing the overhead required to add support for additional properties.
acknowledgement: We thank Pranav Ashok and Maximilian Weininger for their contributions
to spiritual predecessors of PET as well as motivating the initial development of
this tool.
alternative_title:
- LNCS
article_processing_charge: No
author:
- first_name: Tobias
full_name: Meggendorfer, Tobias
id: b21b0c15-30a2-11eb-80dc-f13ca25802e1
last_name: Meggendorfer
orcid: 0000-0002-1712-2165
citation:
ama: 'Meggendorfer T. PET – A partial exploration tool for probabilistic verification.
In: 20th International Symposium on Automated Technology for Verification and
Analysis. Vol 13505. Springer Nature; 2022:320-326. doi:10.1007/978-3-031-19992-9_20'
apa: 'Meggendorfer, T. (2022). PET – A partial exploration tool for probabilistic
verification. In 20th International Symposium on Automated Technology for Verification
and Analysis (Vol. 13505, pp. 320–326). Virtual: Springer Nature. https://doi.org/10.1007/978-3-031-19992-9_20'
chicago: Meggendorfer, Tobias. “PET – A Partial Exploration Tool for Probabilistic
Verification.” In 20th International Symposium on Automated Technology for
Verification and Analysis, 13505:320–26. Springer Nature, 2022. https://doi.org/10.1007/978-3-031-19992-9_20.
ieee: T. Meggendorfer, “PET – A partial exploration tool for probabilistic verification,”
in 20th International Symposium on Automated Technology for Verification and
Analysis, Virtual, 2022, vol. 13505, pp. 320–326.
ista: 'Meggendorfer T. 2022. PET – A partial exploration tool for probabilistic
verification. 20th International Symposium on Automated Technology for Verification
and Analysis. ATVA: Automated Technology for Verification and Analysis, LNCS,
vol. 13505, 320–326.'
mla: Meggendorfer, Tobias. “PET – A Partial Exploration Tool for Probabilistic Verification.”
20th International Symposium on Automated Technology for Verification and Analysis,
vol. 13505, Springer Nature, 2022, pp. 320–26, doi:10.1007/978-3-031-19992-9_20.
short: T. Meggendorfer, in:, 20th International Symposium on Automated Technology
for Verification and Analysis, Springer Nature, 2022, pp. 320–326.
conference:
end_date: 2022-10-28
location: Virtual
name: 'ATVA: Automated Technology for Verification and Analysis'
start_date: 2022-10-25
date_created: 2023-01-12T12:11:07Z
date_published: 2022-10-21T00:00:00Z
date_updated: 2023-09-05T15:11:51Z
day: '21'
department:
- _id: KrCh
doi: 10.1007/978-3-031-19992-9_20
intvolume: ' 13505'
language:
- iso: eng
month: '10'
oa_version: None
page: 320-326
publication: 20th International Symposium on Automated Technology for Verification
and Analysis
publication_identifier:
eisbn:
- '9783031199929'
eissn:
- 1611-3349
isbn:
- '9783031199912'
issn:
- 0302-9743
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
scopus_import: '1'
status: public
title: PET – A partial exploration tool for probabilistic verification
type: conference
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 13505
year: '2022'
...
---
_id: '11402'
abstract:
- lang: eng
text: Fixed-horizon planning considers a weighted graph and asks to construct a
path that maximizes the sum of weights for a given time horizon T. However, in
many scenarios, the time horizon is not fixed, but the stopping time is chosen
according to some distribution such that the expected stopping time is T. If the
stopping-time distribution is not known, then to ensure robustness, the distribution
is chosen by an adversary as the worst-case scenario. A stationary plan for every
vertex always chooses the same outgoing edge. For fixed horizon or fixed stopping-time
distribution, stationary plans are not sufficient for optimality. Quite surprisingly
we show that when an adversary chooses the stopping-time distribution with expected
stopping-time T, then stationary plans are sufficient. While computing optimal
stationary plans for fixed horizon is NP-complete, we show that computing optimal
stationary plans under adversarial stopping-time distribution can be achieved
in polynomial time.
acknowledgement: This work was partially supported by Austrian Science Fund (FWF)
NFN Grant No RiSE/SHiNE S11407 and by the grant ERC CoG 863818 (ForM-SMArt).
article_processing_charge: No
article_type: original
author:
- first_name: Krishnendu
full_name: Chatterjee, Krishnendu
id: 2E5DCA20-F248-11E8-B48F-1D18A9856A87
last_name: Chatterjee
orcid: 0000-0002-4561-241X
- first_name: Laurent
full_name: Doyen, Laurent
last_name: Doyen
citation:
ama: Chatterjee K, Doyen L. Graph planning with expected finite horizon. Journal
of Computer and System Sciences. 2022;129:1-21. doi:10.1016/j.jcss.2022.04.003
apa: Chatterjee, K., & Doyen, L. (2022). Graph planning with expected finite
horizon. Journal of Computer and System Sciences. Elsevier. https://doi.org/10.1016/j.jcss.2022.04.003
chicago: Chatterjee, Krishnendu, and Laurent Doyen. “Graph Planning with Expected
Finite Horizon.” Journal of Computer and System Sciences. Elsevier, 2022.
https://doi.org/10.1016/j.jcss.2022.04.003.
ieee: K. Chatterjee and L. Doyen, “Graph planning with expected finite horizon,”
Journal of Computer and System Sciences, vol. 129. Elsevier, pp. 1–21,
2022.
ista: Chatterjee K, Doyen L. 2022. Graph planning with expected finite horizon.
Journal of Computer and System Sciences. 129, 1–21.
mla: Chatterjee, Krishnendu, and Laurent Doyen. “Graph Planning with Expected Finite
Horizon.” Journal of Computer and System Sciences, vol. 129, Elsevier,
2022, pp. 1–21, doi:10.1016/j.jcss.2022.04.003.
short: K. Chatterjee, L. Doyen, Journal of Computer and System Sciences 129 (2022)
1–21.
date_created: 2022-05-22T22:01:40Z
date_published: 2022-11-01T00:00:00Z
date_updated: 2023-09-07T14:48:11Z
day: '01'
department:
- _id: KrCh
doi: 10.1016/j.jcss.2022.04.003
ec_funded: 1
external_id:
arxiv:
- '1802.03642'
isi:
- '000805002800001'
intvolume: ' 129'
isi: 1
language:
- iso: eng
main_file_link:
- open_access: '1'
url: ' https://doi.org/10.48550/arXiv.1802.03642'
month: '11'
oa: 1
oa_version: Preprint
page: 1-21
project:
- _id: 25863FF4-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: S11407
name: Game Theory
- _id: 0599E47C-7A3F-11EA-A408-12923DDC885E
call_identifier: H2020
grant_number: '863818'
name: 'Formal Methods for Stochastic Models: Algorithms and Applications'
publication: Journal of Computer and System Sciences
publication_identifier:
eissn:
- 1090-2724
issn:
- 0022-0000
publication_status: published
publisher: Elsevier
quality_controlled: '1'
related_material:
record:
- id: '7402'
relation: earlier_version
status: public
scopus_import: '1'
status: public
title: Graph planning with expected finite horizon
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 129
year: '2022'
...
---
_id: '12775'
abstract:
- lang: eng
text: "We consider the problem of approximating the reachability probabilities in
Markov decision processes (MDP) with uncountable (continuous) state and action
spaces. While there are algorithms that, for special classes of such MDP, provide
a sequence of approximations converging to the true value in the limit, our aim
is to obtain an algorithm with guarantees on the precision of the approximation.\r\nAs
this problem is undecidable in general, assumptions on the MDP are necessary.
Our main contribution is to identify sufficient assumptions that are as weak as
possible, thus approaching the \"boundary\" of which systems can be correctly
and reliably analyzed. To this end, we also argue why each of our assumptions
is necessary for algorithms based on processing finitely many observations.\r\nWe
present two solution variants. The first one provides converging lower bounds
under weaker assumptions than typical ones from previous works concerned with
guarantees. The second one then utilizes stronger assumptions to additionally
provide converging upper bounds. Altogether, we obtain an anytime algorithm, i.e.
yielding a sequence of approximants with known and iteratively improving precision,
converging to the true value in the limit. Besides, due to the generality of our
assumptions, our algorithms are very general templates, readily allowing for various
heuristics from literature in contrast to, e.g., a specific discretization algorithm.
Our theoretical contribution thus paves the way for future practical improvements
without sacrificing correctness guarantees."
acknowledgement: "Kush Grover: The author has been supported by the DFG research training
group GRK\r\n2428 ConVeY.\r\nMaximilian Weininger: The author has been partially
supported by DFG projects 383882557\r\nStatistical Unbounded Verification (SUV)
and 427755713 Group-By Objectives in Probabilistic\r\nVerification (GOPro)"
alternative_title:
- LIPIcs
article_number: '11'
article_processing_charge: No
author:
- first_name: Kush
full_name: Grover, Kush
last_name: Grover
- first_name: Jan
full_name: Kretinsky, Jan
id: 44CEF464-F248-11E8-B48F-1D18A9856A87
last_name: Kretinsky
orcid: 0000-0002-8122-2881
- first_name: Tobias
full_name: Meggendorfer, Tobias
id: b21b0c15-30a2-11eb-80dc-f13ca25802e1
last_name: Meggendorfer
orcid: 0000-0002-1712-2165
- first_name: Maimilian
full_name: Weininger, Maimilian
last_name: Weininger
citation:
ama: 'Grover K, Kretinsky J, Meggendorfer T, Weininger M. Anytime guarantees for
reachability in uncountable Markov decision processes. In: 33rd International
Conference on Concurrency Theory . Vol 243. Schloss Dagstuhl - Leibniz-Zentrum
für Informatik; 2022. doi:10.4230/LIPIcs.CONCUR.2022.11'
apa: 'Grover, K., Kretinsky, J., Meggendorfer, T., & Weininger, M. (2022). Anytime
guarantees for reachability in uncountable Markov decision processes. In 33rd
International Conference on Concurrency Theory (Vol. 243). Warsaw, Poland:
Schloss Dagstuhl - Leibniz-Zentrum für Informatik. https://doi.org/10.4230/LIPIcs.CONCUR.2022.11'
chicago: Grover, Kush, Jan Kretinsky, Tobias Meggendorfer, and Maimilian Weininger.
“Anytime Guarantees for Reachability in Uncountable Markov Decision Processes.”
In 33rd International Conference on Concurrency Theory , Vol. 243. Schloss
Dagstuhl - Leibniz-Zentrum für Informatik, 2022. https://doi.org/10.4230/LIPIcs.CONCUR.2022.11.
ieee: K. Grover, J. Kretinsky, T. Meggendorfer, and M. Weininger, “Anytime guarantees
for reachability in uncountable Markov decision processes,” in 33rd International
Conference on Concurrency Theory , Warsaw, Poland, 2022, vol. 243.
ista: 'Grover K, Kretinsky J, Meggendorfer T, Weininger M. 2022. Anytime guarantees
for reachability in uncountable Markov decision processes. 33rd International
Conference on Concurrency Theory . CONCUR: Conference on Concurrency Theory, LIPIcs,
vol. 243, 11.'
mla: Grover, Kush, et al. “Anytime Guarantees for Reachability in Uncountable Markov
Decision Processes.” 33rd International Conference on Concurrency Theory ,
vol. 243, 11, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2022, doi:10.4230/LIPIcs.CONCUR.2022.11.
short: K. Grover, J. Kretinsky, T. Meggendorfer, M. Weininger, in:, 33rd International
Conference on Concurrency Theory , Schloss Dagstuhl - Leibniz-Zentrum für Informatik,
2022.
conference:
end_date: 2022-09-16
location: Warsaw, Poland
name: 'CONCUR: Conference on Concurrency Theory'
start_date: 2022-09-13
date_created: 2023-03-28T08:09:32Z
date_published: 2022-09-15T00:00:00Z
date_updated: 2023-09-26T10:43:30Z
day: '15'
ddc:
- '000'
department:
- _id: KrCh
doi: 10.4230/LIPIcs.CONCUR.2022.11
external_id:
arxiv:
- '2008.04824'
file:
- access_level: open_access
checksum: e282e43d3ae0ba6e067b72f4583e13c0
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creator: dernst
date_created: 2023-09-26T10:43:15Z
date_updated: 2023-09-26T10:43:15Z
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intvolume: ' 243'
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month: '09'
oa: 1
oa_version: Published Version
publication: '33rd International Conference on Concurrency Theory '
publication_identifier:
issn:
- 1868-8969
publication_status: published
publisher: Schloss Dagstuhl - Leibniz-Zentrum für Informatik
quality_controlled: '1'
scopus_import: '1'
status: public
title: Anytime guarantees for reachability in uncountable Markov decision processes
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 243
year: '2022'
...
---
_id: '12000'
abstract:
- lang: eng
text: "We consider the quantitative problem of obtaining lower-bounds on the probability
of termination of a given non-deterministic probabilistic program. Specifically,
given a non-termination threshold p∈[0,1], we aim for certificates proving that
the program terminates with probability at least 1−p. The basic idea of our approach
is to find a terminating stochastic invariant, i.e. a subset SI of program states
such that (i) the probability of the program ever leaving SI is no more than p,
and (ii) almost-surely, the program either leaves SI or terminates.\r\n\r\nWhile
stochastic invariants are already well-known, we provide the first proof that
the idea above is not only sound, but also complete for quantitative termination
analysis. We then introduce a novel sound and complete characterization of stochastic
invariants that enables template-based approaches for easy synthesis of quantitative
termination certificates, especially in affine or polynomial forms. Finally, by
combining this idea with the existing martingale-based methods that are relatively
complete for qualitative termination analysis, we obtain the first automated,
sound, and relatively complete algorithm for quantitative termination analysis.
Notably, our completeness guarantees for quantitative termination analysis are
as strong as the best-known methods for the qualitative variant.\r\n\r\nOur prototype
implementation demonstrates the effectiveness of our approach on various probabilistic
programs. We also demonstrate that our algorithm certifies lower bounds on termination
probability for probabilistic programs that are beyond the reach of previous methods."
acknowledgement: This research was partially supported by the ERC CoG 863818 (ForM-SMArt),
the HKUST-Kaisa Joint Research Institute Project Grant HKJRI3A-055, the HKUST Startup
Grant R9272 and the European Union’s Horizon 2020 research and innovation programme
under the Marie Skłodowska-Curie Grant Agreement No. 665385.
alternative_title:
- LNCS
article_processing_charge: Yes (in subscription journal)
author:
- first_name: Krishnendu
full_name: Chatterjee, Krishnendu
id: 2E5DCA20-F248-11E8-B48F-1D18A9856A87
last_name: Chatterjee
orcid: 0000-0002-4561-241X
- first_name: Amir Kafshdar
full_name: Goharshady, Amir Kafshdar
id: 391365CE-F248-11E8-B48F-1D18A9856A87
last_name: Goharshady
orcid: 0000-0003-1702-6584
- first_name: Tobias
full_name: Meggendorfer, Tobias
id: b21b0c15-30a2-11eb-80dc-f13ca25802e1
last_name: Meggendorfer
orcid: 0000-0002-1712-2165
- first_name: Dorde
full_name: Zikelic, Dorde
id: 294AA7A6-F248-11E8-B48F-1D18A9856A87
last_name: Zikelic
orcid: 0000-0002-4681-1699
citation:
ama: 'Chatterjee K, Goharshady AK, Meggendorfer T, Zikelic D. Sound and complete
certificates for auantitative termination analysis of probabilistic programs.
In: Proceedings of the 34th International Conference on Computer Aided Verification.
Vol 13371. Springer; 2022:55-78. doi:10.1007/978-3-031-13185-1_4'
apa: 'Chatterjee, K., Goharshady, A. K., Meggendorfer, T., & Zikelic, D. (2022).
Sound and complete certificates for auantitative termination analysis of probabilistic
programs. In Proceedings of the 34th International Conference on Computer Aided
Verification (Vol. 13371, pp. 55–78). Haifa, Israel: Springer. https://doi.org/10.1007/978-3-031-13185-1_4'
chicago: Chatterjee, Krishnendu, Amir Kafshdar Goharshady, Tobias Meggendorfer,
and Dorde Zikelic. “Sound and Complete Certificates for Auantitative Termination
Analysis of Probabilistic Programs.” In Proceedings of the 34th International
Conference on Computer Aided Verification, 13371:55–78. Springer, 2022. https://doi.org/10.1007/978-3-031-13185-1_4.
ieee: K. Chatterjee, A. K. Goharshady, T. Meggendorfer, and D. Zikelic, “Sound and complete
certificates for auantitative termination analysis of probabilistic programs,”
in Proceedings of the 34th International Conference on Computer Aided Verification,
Haifa, Israel, 2022, vol. 13371, pp. 55–78.
ista: 'Chatterjee K, Goharshady AK, Meggendorfer T, Zikelic D. 2022. Sound and complete
certificates for auantitative termination analysis of probabilistic programs.
Proceedings of the 34th International Conference on Computer Aided Verification.
CAV: Computer Aided Verification, LNCS, vol. 13371, 55–78.'
mla: Chatterjee, Krishnendu, et al. “Sound and Complete Certificates for Auantitative
Termination Analysis of Probabilistic Programs.” Proceedings of the 34th International
Conference on Computer Aided Verification, vol. 13371, Springer, 2022, pp.
55–78, doi:10.1007/978-3-031-13185-1_4.
short: K. Chatterjee, A.K. Goharshady, T. Meggendorfer, D. Zikelic, in:, Proceedings
of the 34th International Conference on Computer Aided Verification, Springer,
2022, pp. 55–78.
conference:
end_date: 2022-08-10
location: Haifa, Israel
name: 'CAV: Computer Aided Verification'
start_date: 2022-08-07
date_created: 2022-08-28T22:02:02Z
date_published: 2022-08-07T00:00:00Z
date_updated: 2023-11-30T10:55:37Z
day: '07'
ddc:
- '000'
department:
- _id: KrCh
doi: 10.1007/978-3-031-13185-1_4
ec_funded: 1
external_id:
isi:
- '000870304500004'
file:
- access_level: open_access
checksum: 24e0f810ec52735a90ade95198bc641d
content_type: application/pdf
creator: alisjak
date_created: 2022-08-29T09:17:01Z
date_updated: 2022-08-29T09:17:01Z
file_id: '12003'
file_name: 2022_LNCS_Chatterjee.pdf
file_size: 505094
relation: main_file
success: 1
file_date_updated: 2022-08-29T09:17:01Z
has_accepted_license: '1'
intvolume: ' 13371'
isi: 1
language:
- iso: eng
month: '08'
oa: 1
oa_version: Published Version
page: 55-78
project:
- _id: 0599E47C-7A3F-11EA-A408-12923DDC885E
call_identifier: H2020
grant_number: '863818'
name: 'Formal Methods for Stochastic Models: Algorithms and Applications'
- _id: 2564DBCA-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '665385'
name: International IST Doctoral Program
publication: Proceedings of the 34th International Conference on Computer Aided Verification
publication_identifier:
eissn:
- 1611-3349
isbn:
- '9783031131844'
issn:
- 0302-9743
publication_status: published
publisher: Springer
quality_controlled: '1'
related_material:
record:
- id: '14539'
relation: dissertation_contains
status: public
scopus_import: '1'
status: public
title: Sound and complete certificates for auantitative termination analysis of probabilistic
programs
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: conference
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 13371
year: '2022'
...
---
_id: '12511'
abstract:
- lang: eng
text: "We consider the problem of formally verifying almost-sure (a.s.) asymptotic
stability in discrete-time nonlinear stochastic control systems. While verifying
stability in deterministic control systems is extensively studied in the literature,
verifying stability in stochastic control systems is an open problem. The few
existing works on this topic either consider only specialized forms of stochasticity
or make restrictive assumptions on the system, rendering them inapplicable to
learning algorithms with neural network policies. \r\n In this work, we present
an approach for general nonlinear stochastic control problems with two novel aspects:
(a) instead of classical stochastic extensions of Lyapunov functions, we use ranking
supermartingales (RSMs) to certify a.s. asymptotic stability, and (b) we present
a method for learning neural network RSMs. \r\n We prove that our approach guarantees
a.s. asymptotic stability of the system and\r\n provides the first method to obtain
bounds on the stabilization time, which stochastic Lyapunov functions do not.\r\n
Finally, we validate our approach experimentally on a set of nonlinear stochastic
reinforcement learning environments with neural network policies."
acknowledgement: "This work was supported in part by the ERC-2020-AdG 101020093, ERC
CoG 863818 (FoRM-SMArt) and the European Union’s Horizon 2020 research and innovation
programme\r\nunder the Marie Skłodowska-Curie Grant Agreement No. 665385."
article_processing_charge: No
article_type: original
author:
- first_name: Mathias
full_name: Lechner, Mathias
id: 3DC22916-F248-11E8-B48F-1D18A9856A87
last_name: Lechner
- first_name: Dorde
full_name: Zikelic, Dorde
id: 294AA7A6-F248-11E8-B48F-1D18A9856A87
last_name: Zikelic
orcid: 0000-0002-4681-1699
- first_name: Krishnendu
full_name: Chatterjee, Krishnendu
id: 2E5DCA20-F248-11E8-B48F-1D18A9856A87
last_name: Chatterjee
orcid: 0000-0002-4561-241X
- first_name: Thomas A
full_name: Henzinger, Thomas A
id: 40876CD8-F248-11E8-B48F-1D18A9856A87
last_name: Henzinger
orcid: 0000-0002-2985-7724
citation:
ama: Lechner M, Zikelic D, Chatterjee K, Henzinger TA. Stability verification in
stochastic control systems via neural network supermartingales. Proceedings
of the AAAI Conference on Artificial Intelligence. 2022;36(7):7326-7336. doi:10.1609/aaai.v36i7.20695
apa: Lechner, M., Zikelic, D., Chatterjee, K., & Henzinger, T. A. (2022). Stability
verification in stochastic control systems via neural network supermartingales.
Proceedings of the AAAI Conference on Artificial Intelligence. Association
for the Advancement of Artificial Intelligence. https://doi.org/10.1609/aaai.v36i7.20695
chicago: Lechner, Mathias, Dorde Zikelic, Krishnendu Chatterjee, and Thomas A Henzinger.
“Stability Verification in Stochastic Control Systems via Neural Network Supermartingales.”
Proceedings of the AAAI Conference on Artificial Intelligence. Association
for the Advancement of Artificial Intelligence, 2022. https://doi.org/10.1609/aaai.v36i7.20695.
ieee: M. Lechner, D. Zikelic, K. Chatterjee, and T. A. Henzinger, “Stability verification
in stochastic control systems via neural network supermartingales,” Proceedings
of the AAAI Conference on Artificial Intelligence, vol. 36, no. 7. Association
for the Advancement of Artificial Intelligence, pp. 7326–7336, 2022.
ista: Lechner M, Zikelic D, Chatterjee K, Henzinger TA. 2022. Stability verification
in stochastic control systems via neural network supermartingales. Proceedings
of the AAAI Conference on Artificial Intelligence. 36(7), 7326–7336.
mla: Lechner, Mathias, et al. “Stability Verification in Stochastic Control Systems
via Neural Network Supermartingales.” Proceedings of the AAAI Conference on
Artificial Intelligence, vol. 36, no. 7, Association for the Advancement of
Artificial Intelligence, 2022, pp. 7326–36, doi:10.1609/aaai.v36i7.20695.
short: M. Lechner, D. Zikelic, K. Chatterjee, T.A. Henzinger, Proceedings of the
AAAI Conference on Artificial Intelligence 36 (2022) 7326–7336.
date_created: 2023-02-05T17:29:50Z
date_published: 2022-06-28T00:00:00Z
date_updated: 2023-11-30T10:55:37Z
day: '28'
department:
- _id: ToHe
- _id: KrCh
doi: 10.1609/aaai.v36i7.20695
ec_funded: 1
external_id:
arxiv:
- '2112.09495'
intvolume: ' 36'
issue: '7'
keyword:
- General Medicine
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://arxiv.org/abs/2112.09495
month: '06'
oa: 1
oa_version: Preprint
page: 7326-7336
project:
- _id: 62781420-2b32-11ec-9570-8d9b63373d4d
call_identifier: H2020
grant_number: '101020093'
name: Vigilant Algorithmic Monitoring of Software
- _id: 0599E47C-7A3F-11EA-A408-12923DDC885E
call_identifier: H2020
grant_number: '863818'
name: 'Formal Methods for Stochastic Models: Algorithms and Applications'
- _id: 2564DBCA-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '665385'
name: International IST Doctoral Program
publication: Proceedings of the AAAI Conference on Artificial Intelligence
publication_identifier:
eissn:
- 2374-3468
isbn:
- '9781577358350'
issn:
- 2159-5399
publication_status: published
publisher: Association for the Advancement of Artificial Intelligence
quality_controlled: '1'
related_material:
record:
- id: '14539'
relation: dissertation_contains
status: public
scopus_import: '1'
status: public
title: Stability verification in stochastic control systems via neural network supermartingales
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 36
year: '2022'
...
---
_id: '14601'
abstract:
- lang: eng
text: "In this work, we address the problem of learning provably stable neural\r\nnetwork
policies for stochastic control systems. While recent work has\r\ndemonstrated
the feasibility of certifying given policies using martingale\r\ntheory, the problem
of how to learn such policies is little explored. Here, we\r\nstudy the effectiveness
of jointly learning a policy together with a martingale\r\ncertificate that proves
its stability using a single learning algorithm. We\r\nobserve that the joint
optimization problem becomes easily stuck in local\r\nminima when starting from
a randomly initialized policy. Our results suggest\r\nthat some form of pre-training
of the policy is required for the joint\r\noptimization to repair and verify the
policy successfully."
article_processing_charge: No
author:
- first_name: Dorde
full_name: Zikelic, Dorde
id: 294AA7A6-F248-11E8-B48F-1D18A9856A87
last_name: Zikelic
orcid: 0000-0002-4681-1699
- first_name: Mathias
full_name: Lechner, Mathias
id: 3DC22916-F248-11E8-B48F-1D18A9856A87
last_name: Lechner
- first_name: Krishnendu
full_name: Chatterjee, Krishnendu
id: 2E5DCA20-F248-11E8-B48F-1D18A9856A87
last_name: Chatterjee
orcid: 0000-0002-4561-241X
- first_name: Thomas A
full_name: Henzinger, Thomas A
id: 40876CD8-F248-11E8-B48F-1D18A9856A87
last_name: Henzinger
orcid: 0000-0002-2985-7724
citation:
ama: Zikelic D, Lechner M, Chatterjee K, Henzinger TA. Learning stabilizing policies
in stochastic control systems. arXiv. doi:10.48550/arXiv.2205.11991
apa: Zikelic, D., Lechner, M., Chatterjee, K., & Henzinger, T. A. (n.d.). Learning
stabilizing policies in stochastic control systems. arXiv. https://doi.org/10.48550/arXiv.2205.11991
chicago: Zikelic, Dorde, Mathias Lechner, Krishnendu Chatterjee, and Thomas A Henzinger.
“Learning Stabilizing Policies in Stochastic Control Systems.” ArXiv, n.d.
https://doi.org/10.48550/arXiv.2205.11991.
ieee: D. Zikelic, M. Lechner, K. Chatterjee, and T. A. Henzinger, “Learning stabilizing
policies in stochastic control systems,” arXiv. .
ista: Zikelic D, Lechner M, Chatterjee K, Henzinger TA. Learning stabilizing policies
in stochastic control systems. arXiv, 10.48550/arXiv.2205.11991.
mla: Zikelic, Dorde, et al. “Learning Stabilizing Policies in Stochastic Control
Systems.” ArXiv, doi:10.48550/arXiv.2205.11991.
short: D. Zikelic, M. Lechner, K. Chatterjee, T.A. Henzinger, ArXiv (n.d.).
date_created: 2023-11-24T13:22:30Z
date_published: 2022-05-24T00:00:00Z
date_updated: 2023-11-30T10:55:37Z
day: '24'
department:
- _id: KrCh
- _id: ToHe
doi: 10.48550/arXiv.2205.11991
ec_funded: 1
external_id:
arxiv:
- '2205.11991'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://arxiv.org/abs/2205.11991
month: '05'
oa: 1
oa_version: Preprint
project:
- _id: 62781420-2b32-11ec-9570-8d9b63373d4d
call_identifier: H2020
grant_number: '101020093'
name: Vigilant Algorithmic Monitoring of Software
- _id: 0599E47C-7A3F-11EA-A408-12923DDC885E
call_identifier: H2020
grant_number: '863818'
name: 'Formal Methods for Stochastic Models: Algorithms and Applications'
- _id: 2564DBCA-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '665385'
name: International IST Doctoral Program
publication: arXiv
publication_status: submitted
related_material:
record:
- id: '14539'
relation: dissertation_contains
status: public
status: public
title: Learning stabilizing policies in stochastic control systems
type: preprint
user_id: 8b945eb4-e2f2-11eb-945a-df72226e66a9
year: '2022'
...