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    Solving Partial-Information Stochastic Parity Games

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    Author
    Nain, Sumit; Vardi, Moshe Y.
    Date
    2013
    Abstract
    We 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.
    Citation
    Nain, Sumit and Vardi, Moshe Y.. "Solving Partial-Information Stochastic Parity Games." LICS '13 Proceedings of the 2013 28th Annual ACM/IEEE Symposium on Logic in Computer Science, (2013) Association for Computing Machinery: 341-348. http://dx.doi.org/10.1109/LICS.2013.40.
    Published Version
    http://dx.doi.org/10.1109/LICS.2013.40
    Type
    Conference paper
    Publisher
    Association for Computing Machinery
    Citable link to this page
    https://hdl.handle.net/1911/78492
    Rights
    This is an author's peer-reviewed final manuscript, as accepted by the publisher. The published article is copyrighted by the Association for Computing Machinery.
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    • Computer Science Publications [134]
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    Home | FAQ | Contact Us | Privacy Notice | Accessibility Statement
    Managed by the Digital Scholarship Services at Fondren Library, Rice University
    Physical Address: 6100 Main Street, Houston, Texas 77005
    Mailing Address: MS-44, P.O.BOX 1892, Houston, Texas 77251-1892
    Site Map