{"volume":2015,"publication_status":"published","quality_controlled":"1","status":"public","_id":"10796","type":"conference","article_processing_charge":"No","department":[{"_id":"KrCh"}],"issue":"1","date_created":"2022-02-25T12:18:43Z","acknowledgement":"The research was partly supported by FWF Grant No P 23499-N23, FWF NFN Grant\r\nNo S11407-N23 (RiSE), ERC Start grant (279307: Graph Games), and Microsoft faculty fellows award.","scopus_import":"1","project":[{"call_identifier":"FWF","grant_number":"P 23499-N23","name":"Modern Graph Algorithmic Techniques in Formal Verification","_id":"2584A770-B435-11E9-9278-68D0E5697425"},{"name":"Game Theory","grant_number":"S11407","call_identifier":"FWF","_id":"25863FF4-B435-11E9-9278-68D0E5697425"},{"grant_number":"279307","call_identifier":"FP7","name":"Quantitative Graph Games: Theory and Applications","_id":"2581B60A-B435-11E9-9278-68D0E5697425"},{"_id":"2587B514-B435-11E9-9278-68D0E5697425","name":"Microsoft Research Faculty Fellowship"}],"title":"The value 1 problem under finite-memory strategies for concurrent mean-payoff games","date_published":"2015-01-01T00:00:00Z","author":[{"orcid":"0000-0002-4561-241X","id":"2E5DCA20-F248-11E8-B48F-1D18A9856A87","last_name":"Chatterjee","first_name":"Krishnendu","full_name":"Chatterjee, Krishnendu"},{"full_name":"Ibsen-Jensen, Rasmus","orcid":"0000-0003-4783-0389","first_name":"Rasmus","last_name":"Ibsen-Jensen","id":"3B699956-F248-11E8-B48F-1D18A9856A87"}],"month":"01","citation":{"short":"K. Chatterjee, R. Ibsen-Jensen, in:, Proceedings of the Twenty-Sixth Annual ACM-SIAM Symposium on Discrete Algorithms, SIAM, 2015, pp. 1018–1029.","ieee":"K. Chatterjee and R. Ibsen-Jensen, “The value 1 problem under finite-memory strategies for concurrent mean-payoff games,” in Proceedings of the Twenty-Sixth Annual ACM-SIAM Symposium on Discrete Algorithms, San Diego, CA, United States, 2015, vol. 2015, no. 1, pp. 1018–1029.","ista":"Chatterjee K, Ibsen-Jensen R. 2015. The value 1 problem under finite-memory strategies for concurrent mean-payoff games. Proceedings of the Twenty-Sixth Annual ACM-SIAM Symposium on Discrete Algorithms. SODA: Symposium on Discrete Algorithms vol. 2015, 1018–1029.","apa":"Chatterjee, K., & Ibsen-Jensen, R. (2015). The value 1 problem under finite-memory strategies for concurrent mean-payoff games. In Proceedings of the Twenty-Sixth Annual ACM-SIAM Symposium on Discrete Algorithms (Vol. 2015, pp. 1018–1029). San Diego, CA, United States: SIAM. https://doi.org/10.1137/1.9781611973730.69","mla":"Chatterjee, Krishnendu, and Rasmus Ibsen-Jensen. “The Value 1 Problem under Finite-Memory Strategies for Concurrent Mean-Payoff Games.” Proceedings of the Twenty-Sixth Annual ACM-SIAM Symposium on Discrete Algorithms, vol. 2015, no. 1, SIAM, 2015, pp. 1018–29, doi:10.1137/1.9781611973730.69.","chicago":"Chatterjee, Krishnendu, and Rasmus Ibsen-Jensen. “The Value 1 Problem under Finite-Memory Strategies for Concurrent Mean-Payoff Games.” In Proceedings of the Twenty-Sixth Annual ACM-SIAM Symposium on Discrete Algorithms, 2015:1018–29. SIAM, 2015. https://doi.org/10.1137/1.9781611973730.69.","ama":"Chatterjee K, Ibsen-Jensen R. The value 1 problem under finite-memory strategies for concurrent mean-payoff games. In: Proceedings of the Twenty-Sixth Annual ACM-SIAM Symposium on Discrete Algorithms. Vol 2015. SIAM; 2015:1018-1029. doi:10.1137/1.9781611973730.69"},"intvolume":" 2015","publication_identifier":{"isbn":["978-161197374-7"]},"date_updated":"2022-02-25T12:33:32Z","day":"01","year":"2015","language":[{"iso":"eng"}],"ec_funded":1,"publication":"Proceedings of the Twenty-Sixth Annual ACM-SIAM Symposium on Discrete Algorithms","doi":"10.1137/1.9781611973730.69","conference":{"end_date":"2015-01-06","start_date":"2015-01-04","name":"SODA: Symposium on Discrete Algorithms","location":"San Diego, CA, United States"},"page":"1018-1029","oa_version":"Preprint","external_id":{"arxiv":["1409.6690"]},"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","publisher":"SIAM","abstract":[{"lang":"eng","text":"We consider concurrent mean-payoff games, a very well-studied class of two-player (player 1 vs player 2) zero-sum games on finite-state graphs where every transition is assigned a reward between 0 and 1, and the payoff function is the long-run average of the rewards. The value is the maximal expected payoff that player 1 can guarantee against all strategies of player 2. We consider the computation of the set of states with value 1 under finite-memory strategies for player 1, and our main results for the problem are as follows: (1) we present a polynomial-time algorithm; (2) we show that whenever there is a finite-memory strategy, there is a stationary strategy that does not need memory at all; and (3) we present an optimal bound (which is double exponential) on the patience of stationary strategies (where patience of a distribution is the inverse of the smallest positive probability and represents a complexity measure of a stationary strategy)."}]}