---
_id: '5453'
alternative_title:
- IST Austria Technical Report
author:
- 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
- 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: Pavlogiannis A, Tkadlec J, Chatterjee K, Nowak M. Arbitrarily Strong Amplifiers
of Natural Selection. IST Austria; 2016. doi:10.15479/AT:IST-2017-749-v3-1
apa: Pavlogiannis, A., Tkadlec, J., Chatterjee, K., & Nowak, M. (2016). Arbitrarily
strong amplifiers of natural selection. IST Austria. https://doi.org/10.15479/AT:IST-2017-749-v3-1
chicago: Pavlogiannis, Andreas, Josef Tkadlec, Krishnendu Chatterjee, and Martin
Nowak. Arbitrarily Strong Amplifiers of Natural Selection. IST Austria,
2016. https://doi.org/10.15479/AT:IST-2017-749-v3-1.
ieee: A. Pavlogiannis, J. Tkadlec, K. Chatterjee, and M. Nowak, Arbitrarily strong
amplifiers of natural selection. IST Austria, 2016.
ista: Pavlogiannis A, Tkadlec J, Chatterjee K, Nowak M. 2016. Arbitrarily strong
amplifiers of natural selection, IST Austria, 34p.
mla: Pavlogiannis, Andreas, et al. Arbitrarily Strong Amplifiers of Natural Selection.
IST Austria, 2016, doi:10.15479/AT:IST-2017-749-v3-1.
short: A. Pavlogiannis, J. Tkadlec, K. Chatterjee, M. Nowak, Arbitrarily Strong
Amplifiers of Natural Selection, IST Austria, 2016.
date_created: 2018-12-12T11:39:25Z
date_published: 2016-12-30T00:00:00Z
date_updated: 2023-02-23T12:27:07Z
day: '30'
ddc:
- '000'
department:
- _id: KrCh
doi: 10.15479/AT:IST-2017-749-v3-1
file:
- access_level: open_access
checksum: 83b0313dab3bff4bdb6ac38695026fda
content_type: application/pdf
creator: system
date_created: 2018-12-12T11:53:13Z
date_updated: 2020-07-14T12:46:59Z
file_id: '5474'
file_name: IST-2017-749-v3+1_main.pdf
file_size: 1015647
relation: main_file
file_date_updated: 2020-07-14T12:46:59Z
has_accepted_license: '1'
language:
- iso: eng
month: '12'
oa: 1
oa_version: Published Version
page: '34'
publication_identifier:
issn:
- 2664-1690
publication_status: published
publisher: IST Austria
pubrep_id: '755'
related_material:
record:
- id: '5452'
relation: earlier_version
status: public
status: public
title: Arbitrarily strong amplifiers of natural selection
type: technical_report
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2016'
...
---
_id: '5451'
alternative_title:
- IST Austria Technical Report
author:
- 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
- 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: Pavlogiannis A, Tkadlec J, Chatterjee K, Nowak M. Strong Amplifiers of Natural
Selection. IST Austria; 2016. doi:10.15479/AT:IST-2016-728-v1-1
apa: Pavlogiannis, A., Tkadlec, J., Chatterjee, K., & Nowak, M. (2016). Strong
amplifiers of natural selection. IST Austria. https://doi.org/10.15479/AT:IST-2016-728-v1-1
chicago: Pavlogiannis, Andreas, Josef Tkadlec, Krishnendu Chatterjee, and Martin
Nowak. Strong Amplifiers of Natural Selection. IST Austria, 2016. https://doi.org/10.15479/AT:IST-2016-728-v1-1.
ieee: A. Pavlogiannis, J. Tkadlec, K. Chatterjee, and M. Nowak, Strong amplifiers
of natural selection. IST Austria, 2016.
ista: Pavlogiannis A, Tkadlec J, Chatterjee K, Nowak M. 2016. Strong amplifiers
of natural selection, IST Austria, 34p.
mla: Pavlogiannis, Andreas, et al. Strong Amplifiers of Natural Selection.
IST Austria, 2016, doi:10.15479/AT:IST-2016-728-v1-1.
short: A. Pavlogiannis, J. Tkadlec, K. Chatterjee, M. Nowak, Strong Amplifiers of
Natural Selection, IST Austria, 2016.
date_created: 2018-12-12T11:39:24Z
date_published: 2016-12-30T00:00:00Z
date_updated: 2023-02-23T12:27:05Z
day: '30'
ddc:
- '000'
department:
- _id: KrCh
doi: 10.15479/AT:IST-2016-728-v1-1
file:
- access_level: open_access
checksum: 7b8bb17c322c0556acba6ac169fa71c1
content_type: application/pdf
creator: system
date_created: 2018-12-12T11:53:04Z
date_updated: 2020-07-14T12:46:59Z
file_id: '5465'
file_name: IST-2016-728-v1+1_main.pdf
file_size: 1014732
relation: main_file
file_date_updated: 2020-07-14T12:46:59Z
has_accepted_license: '1'
language:
- iso: eng
month: '12'
oa: 1
oa_version: Published Version
page: '34'
publication_identifier:
issn:
- 2664-1690
publication_status: published
publisher: IST Austria
pubrep_id: '728'
status: public
title: Strong amplifiers of natural selection
type: technical_report
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2016'
...
---
_id: '5448'
abstract:
- lang: eng
text: "We present a new dynamic partial-order reduction method for stateless model
checking of concurrent programs. A common approach for exploring program behaviors
relies on enumerating the traces of the program, without storing the visited states
(aka stateless exploration). As the number of distinct traces grows exponentially,
dynamic partial-order reduction (DPOR) techniques have been successfully used
to partition the space of traces into equivalence classes (Mazurkiewicz partitioning),
with the goal of exploring only few representative traces from each class.\r\nWe
introduce a new equivalence on traces under sequential consistency semantics,
which we call the observation equivalence. Two traces are observationally equivalent
if every read event observes the same write event in both traces. While the traditional
Mazurkiewicz equivalence is control-centric, our new definition is data-centric.
We show that our observation equivalence is coarser than the Mazurkiewicz equivalence,
and in many cases even exponentially coarser. We devise a DPOR exploration of
the trace space, called data-centric DPOR, based on the observation equivalence.\r\n1.
For acyclic architectures, our algorithm is guaranteed to explore exactly one
representative trace from each observation class, while spending polynomial time
per class. Hence, our algorithm is optimal wrt the observation equivalence, and
in several cases explores exponentially fewer traces than any enumerative method
based on the Mazurkiewicz equivalence.\r\n2. For cyclic architectures, we consider
an equivalence between traces which is finer than the observation equivalence;
but coarser than the Mazurkiewicz equivalence, and in some cases is exponentially
coarser. Our data-centric DPOR algorithm remains optimal under this trace equivalence.
\r\nFinally, we perform a basic experimental comparison between the existing Mazurkiewicz-based
DPOR and our data-centric DPOR on a set of academic benchmarks. Our results show
a significant reduction in both running time and the number of explored equivalence
classes."
alternative_title:
- IST Austria Technical Report
author:
- first_name: '1'
full_name: Anonymous, 1
last_name: Anonymous
- first_name: '2'
full_name: Anonymous, 2
last_name: Anonymous
- first_name: '3'
full_name: Anonymous, 3
last_name: Anonymous
- first_name: '4'
full_name: Anonymous, 4
last_name: Anonymous
citation:
ama: Anonymous 1, Anonymous 2, Anonymous 3, Anonymous 4. Data-Centric Dynamic
Partial Order Reduction. IST Austria; 2016.
apa: Anonymous, 1, Anonymous, 2, Anonymous, 3, & Anonymous, 4. (2016). Data-centric
dynamic partial order reduction. IST Austria.
chicago: Anonymous, 1, 2 Anonymous, 3 Anonymous, and 4 Anonymous. Data-Centric
Dynamic Partial Order Reduction. IST Austria, 2016.
ieee: 1 Anonymous, 2 Anonymous, 3 Anonymous, and 4 Anonymous, Data-centric dynamic
partial order reduction. IST Austria, 2016.
ista: Anonymous 1, Anonymous 2, Anonymous 3, Anonymous 4. 2016. Data-centric dynamic
partial order reduction, IST Austria, 20p.
mla: Anonymous, 1, et al. Data-Centric Dynamic Partial Order Reduction. IST
Austria, 2016.
short: 1 Anonymous, 2 Anonymous, 3 Anonymous, 4 Anonymous, Data-Centric Dynamic
Partial Order Reduction, IST Austria, 2016.
date_created: 2018-12-12T11:39:23Z
date_published: 2016-07-15T00:00:00Z
date_updated: 2023-02-23T12:27:16Z
day: '15'
ddc:
- '000'
external_id:
arxiv:
- '1610.01188'
file:
- access_level: open_access
checksum: 1d69252d66bcdf782615ddfb911d2957
content_type: application/pdf
creator: system
date_created: 2018-12-12T11:53:45Z
date_updated: 2020-07-14T12:46:58Z
file_id: '5506'
file_name: IST-2016-620-v1+1_main.pdf
file_size: 538881
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content_type: text/plain
creator: dernst
date_created: 2019-05-10T13:30:40Z
date_updated: 2020-07-14T12:46:58Z
file_id: '6405'
file_name: authornames.txt
file_size: 121
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file_date_updated: 2020-07-14T12:46:58Z
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language:
- iso: eng
month: '07'
oa: 1
oa_version: Published Version
page: '20'
publication_identifier:
issn:
- 2664-1690
publication_status: published
publisher: IST Austria
pubrep_id: '620'
related_material:
record:
- id: '10417'
relation: later_version
status: public
- id: '5456'
relation: later_version
status: public
status: public
title: Data-centric dynamic partial order reduction
type: technical_report
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2016'
...
---
_id: '5452'
alternative_title:
- IST Austria Technical Report
article_processing_charge: No
author:
- 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
- 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: Pavlogiannis A, Tkadlec J, Chatterjee K, Nowak M. Arbitrarily Strong Amplifiers
of Natural Selection. IST Austria; 2016. doi:10.15479/AT:IST-2017-728-v2-1
apa: Pavlogiannis, A., Tkadlec, J., Chatterjee, K., & Nowak, M. (2016). Arbitrarily
strong amplifiers of natural selection. IST Austria. https://doi.org/10.15479/AT:IST-2017-728-v2-1
chicago: Pavlogiannis, Andreas, Josef Tkadlec, Krishnendu Chatterjee, and Martin
Nowak. Arbitrarily Strong Amplifiers of Natural Selection. IST Austria,
2016. https://doi.org/10.15479/AT:IST-2017-728-v2-1.
ieee: A. Pavlogiannis, J. Tkadlec, K. Chatterjee, and M. Nowak, Arbitrarily strong
amplifiers of natural selection. IST Austria, 2016.
ista: Pavlogiannis A, Tkadlec J, Chatterjee K, Nowak M. 2016. Arbitrarily strong
amplifiers of natural selection, IST Austria, 32p.
mla: Pavlogiannis, Andreas, et al. Arbitrarily Strong Amplifiers of Natural Selection.
IST Austria, 2016, doi:10.15479/AT:IST-2017-728-v2-1.
short: A. Pavlogiannis, J. Tkadlec, K. Chatterjee, M. Nowak, Arbitrarily Strong
Amplifiers of Natural Selection, IST Austria, 2016.
date_created: 2018-12-12T11:39:25Z
date_published: 2016-12-30T00:00:00Z
date_updated: 2024-02-21T13:48:42Z
day: '30'
ddc:
- '000'
department:
- _id: KrCh
doi: 10.15479/AT:IST-2017-728-v2-1
ec_funded: 1
file:
- access_level: open_access
checksum: 58e895f26c82f560c0f0989bf8b08599
content_type: application/pdf
creator: system
date_created: 2018-12-12T11:52:59Z
date_updated: 2020-07-14T12:46:59Z
file_id: '5460'
file_name: IST-2017-728-v2+1_main.pdf
file_size: 811558
relation: main_file
file_date_updated: 2020-07-14T12:46:59Z
has_accepted_license: '1'
language:
- iso: eng
month: '12'
oa: 1
oa_version: Published Version
page: '32'
project:
- _id: 2581B60A-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '279307'
name: 'Quantitative Graph Games: Theory and Applications'
publication_identifier:
issn:
- 2664-1690
publication_status: published
publisher: IST Austria
pubrep_id: '750'
related_material:
record:
- id: '5453'
relation: later_version
status: public
- id: '5559'
relation: popular_science
status: public
status: public
title: Arbitrarily strong amplifiers of natural selection
type: technical_report
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2016'
...
---
_id: '5431'
abstract:
- lang: eng
text: "We consider finite-state concurrent stochastic games, played by k>=2 players
for an infinite number of rounds, where in every round, each player simultaneously
and independently of the other players chooses an action, whereafter the successor
state is determined by a probability distribution given by the current state and
the chosen actions. We consider reachability objectives that given a target set
of states require that some state in the target set is visited, and the dual safety
objectives that given a target set require that only states in the target set
are visited. We are interested in the complexity of stationary strategies measured
by their patience, which is defined as the inverse of the smallest non-zero probability
employed.\r\n\r\n Our main results are as follows: We show that in two-player
zero-sum concurrent stochastic games (with reachability objective for one player
and the complementary safety objective for the other player): (i) the optimal
bound on the patience of optimal and epsilon-optimal strategies, for both players
is doubly exponential; and (ii) even in games with a single non-absorbing state
exponential (in the number of actions) patience is necessary. In general we study
the class of non-zero-sum games admitting epsilon-Nash equilibria. We show that
if there is at least one player with reachability objective, then doubly-exponential
patience is needed in general for epsilon-Nash equilibrium strategies, whereas
in contrast if all players have safety objectives, then the optimal bound on patience
for epsilon-Nash equilibrium strategies is only exponential."
alternative_title:
- IST Austria Technical Report
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: Kristoffer
full_name: Hansen, Kristoffer
last_name: Hansen
citation:
ama: Chatterjee K, Ibsen-Jensen R, Hansen K. The Patience of Concurrent Stochastic
Games with Safety and Reachability Objectives. IST Austria; 2015. doi:10.15479/AT:IST-2015-322-v1-1
apa: Chatterjee, K., Ibsen-Jensen, R., & Hansen, K. (2015). The patience
of concurrent stochastic games with safety and reachability objectives. IST
Austria. https://doi.org/10.15479/AT:IST-2015-322-v1-1
chicago: Chatterjee, Krishnendu, Rasmus Ibsen-Jensen, and Kristoffer Hansen. The
Patience of Concurrent Stochastic Games with Safety and Reachability Objectives.
IST Austria, 2015. https://doi.org/10.15479/AT:IST-2015-322-v1-1.
ieee: K. Chatterjee, R. Ibsen-Jensen, and K. Hansen, The patience of concurrent
stochastic games with safety and reachability objectives. IST Austria, 2015.
ista: Chatterjee K, Ibsen-Jensen R, Hansen K. 2015. The patience of concurrent stochastic
games with safety and reachability objectives, IST Austria, 25p.
mla: Chatterjee, Krishnendu, et al. The Patience of Concurrent Stochastic Games
with Safety and Reachability Objectives. IST Austria, 2015, doi:10.15479/AT:IST-2015-322-v1-1.
short: K. Chatterjee, R. Ibsen-Jensen, K. Hansen, The Patience of Concurrent Stochastic
Games with Safety and Reachability Objectives, IST Austria, 2015.
date_created: 2018-12-12T11:39:17Z
date_published: 2015-02-19T00:00:00Z
date_updated: 2021-01-12T08:02:13Z
day: '19'
ddc:
- '005'
- '519'
department:
- _id: KrCh
doi: 10.15479/AT:IST-2015-322-v1-1
file:
- access_level: open_access
checksum: bfb858262c30445b8e472c40069178a2
content_type: application/pdf
creator: system
date_created: 2018-12-12T11:53:31Z
date_updated: 2020-07-14T12:46:53Z
file_id: '5491'
file_name: IST-2015-322-v1+1_safetygames.pdf
file_size: 661015
relation: main_file
file_date_updated: 2020-07-14T12:46:53Z
has_accepted_license: '1'
language:
- iso: eng
month: '02'
oa: 1
oa_version: Published Version
page: '25'
publication_identifier:
issn:
- 2664-1690
publication_status: published
publisher: IST Austria
pubrep_id: '322'
status: public
title: The patience of concurrent stochastic games with safety and reachability objectives
type: technical_report
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2015'
...
---
_id: '5434'
abstract:
- lang: eng
text: DEC-POMDPs extend POMDPs to a multi-agent setting, where several agents operate
in an uncertain environment independently to achieve a joint objective. DEC-POMDPs
have been studied with finite-horizon and infinite-horizon discounted-sum objectives,
and there exist solvers both for exact and approximate solutions. In this work
we consider Goal-DEC-POMDPs, where given a set of target states, the objective
is to ensure that the target set is reached with minimal cost. We consider the
indefinite-horizon (infinite-horizon with either discounted-sum, or undiscounted-sum,
where absorbing goal states have zero-cost) problem. We present a new method to
solve the problem that extends methods for finite-horizon DEC- POMDPs and the
RTDP-Bel approach for POMDPs. We present experimental results on several examples,
and show our approach presents promising results.
alternative_title:
- IST Austria Technical Report
author:
- first_name: '1'
full_name: Anonymous, 1
last_name: Anonymous
- first_name: '2'
full_name: Anonymous, 2
last_name: Anonymous
citation:
ama: Anonymous 1, Anonymous 2. Optimal Cost Indefinite-Horizon Reachability in
Goal DEC-POMDPs. IST Austria; 2015.
apa: Anonymous, 1, & Anonymous, 2. (2015). Optimal cost indefinite-horizon
reachability in goal DEC-POMDPs. IST Austria.
chicago: Anonymous, 1, and 2 Anonymous. Optimal Cost Indefinite-Horizon Reachability
in Goal DEC-POMDPs. IST Austria, 2015.
ieee: 1 Anonymous and 2 Anonymous, Optimal cost indefinite-horizon reachability
in goal DEC-POMDPs. IST Austria, 2015.
ista: Anonymous 1, Anonymous 2. 2015. Optimal cost indefinite-horizon reachability
in goal DEC-POMDPs, IST Austria, 16p.
mla: Anonymous, 1, and 2 Anonymous. Optimal Cost Indefinite-Horizon Reachability
in Goal DEC-POMDPs. IST Austria, 2015.
short: 1 Anonymous, 2 Anonymous, Optimal Cost Indefinite-Horizon Reachability in
Goal DEC-POMDPs, IST Austria, 2015.
date_created: 2018-12-12T11:39:18Z
date_published: 2015-02-19T00:00:00Z
date_updated: 2020-07-14T23:04:59Z
day: '19'
ddc:
- '000'
file:
- access_level: open_access
checksum: 8542fd0b10aed7811cd41077b8ccb632
content_type: application/pdf
creator: system
date_created: 2018-12-12T11:53:14Z
date_updated: 2020-07-14T12:46:53Z
file_id: '5475'
file_name: IST-2015-326-v1+1_main.pdf
file_size: 378162
relation: main_file
- access_level: closed
checksum: 84c31c537bdaf7a91909f18d25d640ab
content_type: text/plain
creator: dernst
date_created: 2019-04-16T13:00:33Z
date_updated: 2020-07-14T12:46:53Z
file_id: '6317'
file_name: IST-2015-326-v1+2_authors.txt
file_size: 64
relation: main_file
file_date_updated: 2020-07-14T12:46:53Z
has_accepted_license: '1'
language:
- iso: eng
month: '02'
oa: 1
oa_version: Published Version
page: '16'
publication_identifier:
issn:
- 2664-1690
publication_status: published
publisher: IST Austria
pubrep_id: '326'
status: public
title: Optimal cost indefinite-horizon reachability in goal DEC-POMDPs
type: technical_report
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2015'
...
---
_id: '5429'
abstract:
- lang: eng
text: "We consider Markov decision processes (MDPs) with multiple limit-average
(or mean-payoff) objectives. \r\nThere have been two different views: (i) the
expectation semantics, where the goal is to optimize the expected mean-payoff
objective, and (ii) the satisfaction semantics, where the goal is to maximize
the probability of runs such that the mean-payoff value stays above a given vector.
\ \r\nWe consider the problem where the goal is to optimize the expectation under
the constraint that the satisfaction semantics is ensured, and thus consider a
generalization that unifies the existing semantics.\r\nOur problem captures the
notion of optimization with respect to strategies that are risk-averse (i.e.,
ensures certain probabilistic guarantee).\r\nOur main results are algorithms for
the decision problem which are always polynomial in the size of the MDP. We also
show that an approximation of the Pareto-curve can be computed in time polynomial
in the size of the MDP, and the approximation factor, but exponential in the number
of dimensions.\r\nFinally, we present a complete characterization of the strategy
complexity (in terms of memory bounds and randomization) required to solve our
problem."
alternative_title:
- IST Austria Technical Report
author:
- first_name: Krishnendu
full_name: Chatterjee, Krishnendu
id: 2E5DCA20-F248-11E8-B48F-1D18A9856A87
last_name: Chatterjee
orcid: 0000-0002-4561-241X
- first_name: Zuzana
full_name: Komarkova, Zuzana
last_name: Komarkova
- first_name: Jan
full_name: Kretinsky, Jan
id: 44CEF464-F248-11E8-B48F-1D18A9856A87
last_name: Kretinsky
orcid: 0000-0002-8122-2881
citation:
ama: Chatterjee K, Komarkova Z, Kretinsky J. Unifying Two Views on Multiple Mean-Payoff
Objectives in Markov Decision Processes. IST Austria; 2015. doi:10.15479/AT:IST-2015-318-v1-1
apa: Chatterjee, K., Komarkova, Z., & Kretinsky, J. (2015). Unifying two
views on multiple mean-payoff objectives in Markov decision processes. IST
Austria. https://doi.org/10.15479/AT:IST-2015-318-v1-1
chicago: Chatterjee, Krishnendu, Zuzana Komarkova, and Jan Kretinsky. Unifying
Two Views on Multiple Mean-Payoff Objectives in Markov Decision Processes.
IST Austria, 2015. https://doi.org/10.15479/AT:IST-2015-318-v1-1.
ieee: K. Chatterjee, Z. Komarkova, and J. Kretinsky, Unifying two views on multiple
mean-payoff objectives in Markov decision processes. IST Austria, 2015.
ista: Chatterjee K, Komarkova Z, Kretinsky J. 2015. Unifying two views on multiple
mean-payoff objectives in Markov decision processes, IST Austria, 41p.
mla: Chatterjee, Krishnendu, et al. Unifying Two Views on Multiple Mean-Payoff
Objectives in Markov Decision Processes. IST Austria, 2015, doi:10.15479/AT:IST-2015-318-v1-1.
short: K. Chatterjee, Z. Komarkova, J. Kretinsky, Unifying Two Views on Multiple
Mean-Payoff Objectives in Markov Decision Processes, IST Austria, 2015.
date_created: 2018-12-12T11:39:17Z
date_published: 2015-01-12T00:00:00Z
date_updated: 2023-02-23T12:26:16Z
day: '12'
ddc:
- '004'
department:
- _id: KrCh
doi: 10.15479/AT:IST-2015-318-v1-1
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publication_identifier:
issn:
- 2664-1690
publication_status: published
publisher: IST Austria
pubrep_id: '318'
related_material:
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relation: later_version
status: public
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relation: later_version
status: public
status: public
title: Unifying two views on multiple mean-payoff objectives in Markov decision processes
type: technical_report
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2015'
...
---
_id: '5435'
abstract:
- lang: eng
text: "We consider Markov decision processes (MDPs) with multiple limit-average
(or mean-payoff) objectives. \r\nThere have been two different views: (i) the
expectation semantics, where the goal is to optimize the expected mean-payoff
objective, and (ii) the satisfaction semantics, where the goal is to maximize
the probability of runs such that the mean-payoff value stays above a given vector.
\ \r\nWe consider the problem where the goal is to optimize the expectation under
the constraint that the satisfaction semantics is ensured, and thus consider a
generalization that unifies the existing semantics. Our problem captures the notion
of optimization with respect to strategies that are risk-averse (i.e., ensures
certain probabilistic guarantee).\r\nOur main results are algorithms for the decision
problem which are always polynomial in the size of the MDP.\r\nWe also show that
an approximation of the Pareto-curve can be computed in time polynomial in the
size of the MDP, and the approximation factor, but exponential in the number of
dimensions. Finally, we present a complete characterization of the strategy complexity
(in terms of memory bounds and randomization) required to solve our problem."
alternative_title:
- IST Austria Technical Report
author:
- first_name: Krishnendu
full_name: Chatterjee, Krishnendu
id: 2E5DCA20-F248-11E8-B48F-1D18A9856A87
last_name: Chatterjee
orcid: 0000-0002-4561-241X
- first_name: Zuzana
full_name: Komarkova, Zuzana
last_name: Komarkova
- first_name: Jan
full_name: Kretinsky, Jan
id: 44CEF464-F248-11E8-B48F-1D18A9856A87
last_name: Kretinsky
orcid: 0000-0002-8122-2881
citation:
ama: Chatterjee K, Komarkova Z, Kretinsky J. Unifying Two Views on Multiple Mean-Payoff
Objectives in Markov Decision Processes. IST Austria; 2015. doi:10.15479/AT:IST-2015-318-v2-1
apa: Chatterjee, K., Komarkova, Z., & Kretinsky, J. (2015). Unifying two
views on multiple mean-payoff objectives in Markov decision processes. IST
Austria. https://doi.org/10.15479/AT:IST-2015-318-v2-1
chicago: Chatterjee, Krishnendu, Zuzana Komarkova, and Jan Kretinsky. Unifying
Two Views on Multiple Mean-Payoff Objectives in Markov Decision Processes.
IST Austria, 2015. https://doi.org/10.15479/AT:IST-2015-318-v2-1.
ieee: K. Chatterjee, Z. Komarkova, and J. Kretinsky, Unifying two views on multiple
mean-payoff objectives in Markov decision processes. IST Austria, 2015.
ista: Chatterjee K, Komarkova Z, Kretinsky J. 2015. Unifying two views on multiple
mean-payoff objectives in Markov decision processes, IST Austria, 51p.
mla: Chatterjee, Krishnendu, et al. Unifying Two Views on Multiple Mean-Payoff
Objectives in Markov Decision Processes. IST Austria, 2015, doi:10.15479/AT:IST-2015-318-v2-1.
short: K. Chatterjee, Z. Komarkova, J. Kretinsky, Unifying Two Views on Multiple
Mean-Payoff Objectives in Markov Decision Processes, IST Austria, 2015.
date_created: 2018-12-12T11:39:19Z
date_published: 2015-02-23T00:00:00Z
date_updated: 2023-02-23T12:26:00Z
day: '23'
ddc:
- '004'
department:
- _id: KrCh
doi: 10.15479/AT:IST-2015-318-v2-1
file:
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checksum: 75284adec80baabdfe71ff9ebbc27445
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creator: system
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file_date_updated: 2020-07-14T12:46:53Z
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language:
- iso: eng
month: '02'
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oa_version: Published Version
page: '51'
publication_identifier:
issn:
- 2664-1690
publication_status: published
publisher: IST Austria
pubrep_id: '327'
related_material:
record:
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relation: later_version
status: public
- id: '466'
relation: later_version
status: public
- id: '5429'
relation: earlier_version
status: public
status: public
title: Unifying two views on multiple mean-payoff objectives in Markov decision processes
type: technical_report
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2015'
...
---
_id: '5436'
abstract:
- lang: eng
text: "Recently there has been a significant effort to handle quantitative properties
in formal verification and synthesis. While weighted automata over finite and
infinite words provide a natural and flexible framework to express quantitative
properties, perhaps surprisingly, some basic system properties such as average
response time cannot be expressed using weighted automata, nor in any other know
decidable formalism. In this work, we introduce nested weighted automata as a
natural extension of weighted automata which makes it possible to express important
quantitative properties such as average response time.\r\nIn nested weighted automata,
a master automaton spins off and collects results from weighted slave automata,
each of which computes a quantity along a finite portion of an infinite word.
Nested weighted automata can be viewed as the quantitative analogue of monitor
automata, which are used in run-time verification. We establish an almost complete
decidability picture for the basic decision problems about nested weighted automata,
and illustrate their applicability in several domains. In particular, nested weighted
automata can be used to decide average response time properties."
alternative_title:
- IST Austria Technical Report
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: Jan
full_name: Otop, Jan
id: 2FC5DA74-F248-11E8-B48F-1D18A9856A87
last_name: Otop
citation:
ama: Chatterjee K, Henzinger TA, Otop J. Nested Weighted Automata. IST Austria;
2015. doi:10.15479/AT:IST-2015-170-v2-2
apa: Chatterjee, K., Henzinger, T. A., & Otop, J. (2015). Nested weighted
automata. IST Austria. https://doi.org/10.15479/AT:IST-2015-170-v2-2
chicago: Chatterjee, Krishnendu, Thomas A Henzinger, and Jan Otop. Nested Weighted
Automata. IST Austria, 2015. https://doi.org/10.15479/AT:IST-2015-170-v2-2.
ieee: K. Chatterjee, T. A. Henzinger, and J. Otop, Nested weighted automata.
IST Austria, 2015.
ista: Chatterjee K, Henzinger TA, Otop J. 2015. Nested weighted automata, IST Austria,
29p.
mla: Chatterjee, Krishnendu, et al. Nested Weighted Automata. IST Austria,
2015, doi:10.15479/AT:IST-2015-170-v2-2.
short: K. Chatterjee, T.A. Henzinger, J. Otop, Nested Weighted Automata, IST Austria,
2015.
date_created: 2018-12-12T11:39:19Z
date_published: 2015-04-24T00:00:00Z
date_updated: 2023-02-23T12:25:21Z
day: '24'
ddc:
- '000'
department:
- _id: KrCh
- _id: ToHe
doi: 10.15479/AT:IST-2015-170-v2-2
file:
- access_level: open_access
checksum: 3c402f47d3669c28d04d1af405a08e3f
content_type: application/pdf
creator: system
date_created: 2018-12-12T11:54:19Z
date_updated: 2020-07-14T12:46:54Z
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file_date_updated: 2020-07-14T12:46:54Z
has_accepted_license: '1'
language:
- iso: eng
month: '04'
oa: 1
oa_version: Published Version
page: '29'
publication_identifier:
issn:
- 2664-1690
publication_status: published
publisher: IST Austria
pubrep_id: '331'
related_material:
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relation: later_version
status: public
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status: public
status: public
title: Nested weighted automata
type: technical_report
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2015'
...
---
_id: '5437'
abstract:
- lang: eng
text: "We consider the core algorithmic problems related to verification of systems
with respect to three classical quantitative properties, namely, the mean-payoff
property, the ratio property, and the minimum initial credit for energy property.
\r\nThe algorithmic problem given a graph and a quantitative property asks to
compute the optimal value (the infimum value over all traces) from every node
of the graph. We consider graphs with constant treewidth, and it is well-known
that the control-flow graphs of most programs have constant treewidth. Let $n$
denote the number of nodes of a graph, $m$ the number of edges (for constant treewidth
graphs $m=O(n)$) and $W$ the largest absolute value of the weights.\r\nOur main
theoretical results are as follows.\r\nFirst, for constant treewidth graphs we
present an algorithm that approximates the mean-payoff value within a multiplicative
factor of $\\epsilon$ in time $O(n \\cdot \\log (n/\\epsilon))$ and linear space,
as compared to the classical algorithms that require quadratic time. Second, for
the ratio property we present an algorithm that for constant treewidth graphs
works in time $O(n \\cdot \\log (|a\\cdot b|))=O(n\\cdot\\log (n\\cdot W))$, when
the output is $\\frac{a}{b}$, as compared to the previously best known algorithm
with running time $O(n^2 \\cdot \\log (n\\cdot W))$. Third, for the minimum initial
credit problem we show that (i)~for general graphs the problem can be solved in
$O(n^2\\cdot m)$ time and the associated decision problem can be solved in $O(n\\cdot
m)$ time, improving the previous known $O(n^3\\cdot m\\cdot \\log (n\\cdot W))$
and $O(n^2 \\cdot m)$ bounds, respectively; and (ii)~for constant treewidth graphs
we present an algorithm that requires $O(n\\cdot \\log n)$ time, improving the
previous known $O(n^4 \\cdot \\log (n \\cdot W))$ bound.\r\nWe have implemented
some of our algorithms and show that they present a significant speedup on standard
benchmarks. "
alternative_title:
- IST Austria Technical Report
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: Andreas
full_name: Pavlogiannis, Andreas
id: 49704004-F248-11E8-B48F-1D18A9856A87
last_name: Pavlogiannis
orcid: 0000-0002-8943-0722
citation:
ama: Chatterjee K, Ibsen-Jensen R, Pavlogiannis A. Faster Algorithms for Quantitative
Verification in Constant Treewidth Graphs. IST Austria; 2015. doi:10.15479/AT:IST-2015-330-v2-1
apa: Chatterjee, K., Ibsen-Jensen, R., & Pavlogiannis, A. (2015). Faster
algorithms for quantitative verification in constant treewidth graphs. IST
Austria. https://doi.org/10.15479/AT:IST-2015-330-v2-1
chicago: Chatterjee, Krishnendu, Rasmus Ibsen-Jensen, and Andreas Pavlogiannis.
Faster Algorithms for Quantitative Verification in Constant Treewidth Graphs.
IST Austria, 2015. https://doi.org/10.15479/AT:IST-2015-330-v2-1.
ieee: K. Chatterjee, R. Ibsen-Jensen, and A. Pavlogiannis, Faster algorithms
for quantitative verification in constant treewidth graphs. IST Austria, 2015.
ista: Chatterjee K, Ibsen-Jensen R, Pavlogiannis A. 2015. Faster algorithms for
quantitative verification in constant treewidth graphs, IST Austria, 27p.
mla: Chatterjee, Krishnendu, et al. Faster Algorithms for Quantitative Verification
in Constant Treewidth Graphs. IST Austria, 2015, doi:10.15479/AT:IST-2015-330-v2-1.
short: K. Chatterjee, R. Ibsen-Jensen, A. Pavlogiannis, Faster Algorithms for Quantitative
Verification in Constant Treewidth Graphs, IST Austria, 2015.
date_created: 2018-12-12T11:39:19Z
date_published: 2015-04-27T00:00:00Z
date_updated: 2023-02-23T12:26:05Z
day: '27'
ddc:
- '000'
department:
- _id: KrCh
doi: 10.15479/AT:IST-2015-330-v2-1
file:
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checksum: f5917c20f84018b362d385c000a2e123
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creator: system
date_created: 2018-12-12T11:53:12Z
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language:
- iso: eng
month: '04'
oa: 1
oa_version: Published Version
page: '27'
publication_identifier:
issn:
- 2664-1690
publication_status: published
publisher: IST Austria
pubrep_id: '333'
related_material:
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relation: earlier_version
status: public
status: public
title: Faster algorithms for quantitative verification in constant treewidth graphs
type: technical_report
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2015'
...