Solving Partial-Information Stochastic Parity Games

dc.citation.conferenceDate2013en_US
dc.citation.conferenceName28th Annual ACM/IEEE Symposium on Logic in Computer Scienceen_US
dc.citation.firstpage341en_US
dc.citation.journalTitleLICS '13 Proceedings of the 2013 28th Annual ACM/IEEE Symposium on Logic in Computer Scienceen_US
dc.citation.lastpage348en_US
dc.contributor.authorNain, Sumiten_US
dc.contributor.authorVardi, Moshe Y.en_US
dc.date.accessioned2014-11-21T21:50:13Z
dc.date.available2014-11-21T21:50:13Z
dc.date.issued2013en_US
dc.description.abstractWe study one-sided partial-information 2-player concurrent stochastic games with parity objectives. In such a game, one of the players has only partial visibility of the state of the game, while the other player has complete knowledge. In general, such games are known to be undecidable, even for the case of a single player (POMDP). These undecidability results depend crucially on player strategies that exploit an infinite amount of memory. However, in many applications of games, one is usually more interested in finding a finitememory strategy. We consider the problem of whether the player with partial information has a finite-memory winning strategy when the player with complete information is allowed to use an arbitrary amount of memory. We show that this problem is decidable.en_US
dc.identifier.citationNain, Sumit and Vardi, Moshe Y.. "Solving Partial-Information Stochastic Parity Games." <i>LICS '13 Proceedings of the 2013 28th Annual ACM/IEEE Symposium on Logic in Computer Science,</i> (2013) Association for Computing Machinery: 341-348. http://dx.doi.org/10.1109/LICS.2013.40.
dc.identifier.doihttp://dx.doi.org/10.1109/LICS.2013.40en_US
dc.identifier.urihttps://hdl.handle.net/1911/78492
dc.language.isoengen_US
dc.publisherAssociation for Computing Machinery
dc.rightsThis is an author's peer-reviewed final manuscript, as accepted by the publisher. The published article is copyrighted by the Association for Computing Machinery.en_US
dc.titleSolving Partial-Information Stochastic Parity Gamesen_US
dc.typeConference paperen_US
dc.type.dcmiTexten_US
dc.type.publicationpost-printen_US
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