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Automatic public state space abstraction in imperfect information games

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F15%3A10313049" target="_blank" >RIV/00216208:11320/15:10313049 - isvavai.cz</a>

  • Result on the web

    <a href="http://www.aaai.org/ocs/index.php/WS/AAAIW15/paper/view/10073" target="_blank" >http://www.aaai.org/ocs/index.php/WS/AAAIW15/paper/view/10073</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Automatic public state space abstraction in imperfect information games

  • Original language description

    Although techniques for finding Nash equilibria in extensive form games have become more powerful in recent years, many games that model real world interactions remain too large to be solved directly. The current approach is to create a smaller abstracted game, allowing the computation of an optimal solution. The strategy can then be used in the original game. Considering public information to create the abstraction can be strategically important, yet very few of the previous abstraction algorithms specifically consider public information or use an expert approach. In this paper, we show that the public information can be crucial, and we present a new, automatic technique for abstracting the public state space. We also present an experimental evaluation in the domain of Texas Hold'em poker and show that it outperforms state-of-the-art abstraction algorithms.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    BD - Information theory

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/GA13-10660S" target="_blank" >GA13-10660S: Interval methods for optimization problems</a><br>

  • Continuities

    S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2015

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Computer Poker and Imperfect Information: Papers from the 2015 AAAI Workshop

  • ISBN

    978-1-57735-718-6

  • ISSN

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    51-56

  • Publisher name

    AAAI Press

  • Place of publication

    Texas, US

  • Event location

    Austin, Texas, US

  • Event date

    Jan 25, 2015

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article