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<titleInfo><title>The value 1 problem under finite-memory strategies for concurrent mean-payoff games</title></titleInfo>


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<name type="personal">
  <namePart type="given">Krishnendu</namePart>
  <namePart type="family">Chatterjee</namePart>
  <role><roleTerm type="text">author</roleTerm> </role><identifier type="local">2E5DCA20-F248-11E8-B48F-1D18A9856A87</identifier><description xsi:type="identifierDefinition" type="orcid">0000-0002-4561-241X</description></name>
<name type="personal">
  <namePart type="given">Rasmus</namePart>
  <namePart type="family">Ibsen-Jensen</namePart>
  <role><roleTerm type="text">author</roleTerm> </role><identifier type="local">3B699956-F248-11E8-B48F-1D18A9856A87</identifier><description xsi:type="identifierDefinition" type="orcid">0000-0003-4783-0389</description></name>







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<name type="conference">
  <namePart>SODA: Symposium on Discrete Algorithms</namePart>
</name>



<name type="corporate">
  <namePart>Modern Graph Algorithmic Techniques in Formal Verification</namePart>
  <role><roleTerm type="text">project</roleTerm></role>
</name>
<name type="corporate">
  <namePart>Game Theory</namePart>
  <role><roleTerm type="text">project</roleTerm></role>
</name>
<name type="corporate">
  <namePart>Quantitative Graph Games: Theory and Applications</namePart>
  <role><roleTerm type="text">project</roleTerm></role>
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<name type="corporate">
  <namePart>Microsoft Research Faculty Fellowship</namePart>
  <role><roleTerm type="text">project</roleTerm></role>
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<abstract lang="eng">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).</abstract>

<originInfo><publisher>SIAM</publisher><dateIssued encoding="w3cdtf">2015</dateIssued><place><placeTerm type="text">San Diego, CA, United States</placeTerm></place>
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<language><languageTerm authority="iso639-2b" type="code">eng</languageTerm>
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<relatedItem type="host"><titleInfo><title>Proceedings of the Twenty-Sixth Annual ACM-SIAM Symposium on Discrete Algorithms</title></titleInfo>
  <identifier type="isbn">978-161197374-7</identifier>
  <identifier type="arXiv">1409.6690</identifier><identifier type="doi">10.1137/1.9781611973730.69</identifier>
<part><detail type="volume"><number>2015</number></detail><detail type="issue"><number>1</number></detail><extent unit="pages">1018-1029</extent>
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<ieee>K. Chatterjee and R. Ibsen-Jensen, “The value 1 problem under finite-memory strategies for concurrent mean-payoff games,” in &lt;i&gt;Proceedings of the Twenty-Sixth Annual ACM-SIAM Symposium on Discrete Algorithms&lt;/i&gt;, San Diego, CA, United States, 2015, vol. 2015, no. 1, pp. 1018–1029.</ieee>
<mla>Chatterjee, Krishnendu, and Rasmus Ibsen-Jensen. “The Value 1 Problem under Finite-Memory Strategies for Concurrent Mean-Payoff Games.” &lt;i&gt;Proceedings of the Twenty-Sixth Annual ACM-SIAM Symposium on Discrete Algorithms&lt;/i&gt;, vol. 2015, no. 1, SIAM, 2015, pp. 1018–29, doi:&lt;a href=&quot;https://doi.org/10.1137/1.9781611973730.69&quot;&gt;10.1137/1.9781611973730.69&lt;/a&gt;.</mla>
<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.</ista>
<short>K. Chatterjee, R. Ibsen-Jensen, in:, Proceedings of the Twenty-Sixth Annual ACM-SIAM Symposium on Discrete Algorithms, SIAM, 2015, pp. 1018–1029.</short>
<ama>Chatterjee K, Ibsen-Jensen R. The value 1 problem under finite-memory strategies for concurrent mean-payoff games. In: &lt;i&gt;Proceedings of the Twenty-Sixth Annual ACM-SIAM Symposium on Discrete Algorithms&lt;/i&gt;. Vol 2015. SIAM; 2015:1018-1029. doi:&lt;a href=&quot;https://doi.org/10.1137/1.9781611973730.69&quot;&gt;10.1137/1.9781611973730.69&lt;/a&gt;</ama>
<apa>Chatterjee, K., &amp;#38; Ibsen-Jensen, R. (2015). The value 1 problem under finite-memory strategies for concurrent mean-payoff games. In &lt;i&gt;Proceedings of the Twenty-Sixth Annual ACM-SIAM Symposium on Discrete Algorithms&lt;/i&gt; (Vol. 2015, pp. 1018–1029). San Diego, CA, United States: SIAM. &lt;a href=&quot;https://doi.org/10.1137/1.9781611973730.69&quot;&gt;https://doi.org/10.1137/1.9781611973730.69&lt;/a&gt;</apa>
<chicago>Chatterjee, Krishnendu, and Rasmus Ibsen-Jensen. “The Value 1 Problem under Finite-Memory Strategies for Concurrent Mean-Payoff Games.” In &lt;i&gt;Proceedings of the Twenty-Sixth Annual ACM-SIAM Symposium on Discrete Algorithms&lt;/i&gt;, 2015:1018–29. SIAM, 2015. &lt;a href=&quot;https://doi.org/10.1137/1.9781611973730.69&quot;&gt;https://doi.org/10.1137/1.9781611973730.69&lt;/a&gt;.</chicago>
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