--- _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 relation: main_file - access_level: closed checksum: deabb0eb8f237cae4f9542b28b0b6eb2 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 relation: main_file file_date_updated: 2020-07-14T12:46:58Z has_accepted_license: '1' 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 file: - access_level: open_access checksum: e4869a584567c506349abda9c8ec7db3 content_type: application/pdf creator: system date_created: 2018-12-12T11:54:11Z date_updated: 2020-07-14T12:46:52Z file_id: '5533' file_name: IST-2015-318-v1+1_main.pdf file_size: 689863 relation: main_file file_date_updated: 2020-07-14T12:46:52Z has_accepted_license: '1' language: - iso: eng month: '01' oa: 1 oa_version: Published Version page: '41' publication_identifier: issn: - 2664-1690 publication_status: published publisher: IST Austria pubrep_id: '318' related_material: record: - id: '1657' relation: later_version status: public - id: '466' relation: later_version status: public - id: '5435' 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: - access_level: open_access checksum: 75284adec80baabdfe71ff9ebbc27445 content_type: application/pdf creator: system date_created: 2018-12-12T11:54:03Z date_updated: 2020-07-14T12:46:53Z file_id: '5525' file_name: IST-2015-318-v2+1_main.pdf file_size: 717630 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: '51' publication_identifier: issn: - 2664-1690 publication_status: published publisher: IST Austria pubrep_id: '327' related_material: record: - id: '1657' 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 file_id: '5541' file_name: IST-2015-170-v2+2_report.pdf file_size: 569991 relation: main_file 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: record: - id: '1656' relation: later_version status: public - id: '467' relation: later_version status: public - id: '5415' relation: earlier_version 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: - access_level: open_access checksum: f5917c20f84018b362d385c000a2e123 content_type: application/pdf creator: system date_created: 2018-12-12T11:53:12Z date_updated: 2020-07-14T12:46:54Z file_id: '5473' file_name: IST-2015-330-v2+1_main.pdf file_size: 1072137 relation: main_file file_date_updated: 2020-07-14T12:46:54Z has_accepted_license: '1' 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: record: - id: '1607' relation: later_version status: public - id: '5430' 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' ...