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Computing Maxmin Strategies in Extensive-form Zero-sum Games with Imperfect Recall

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F17%3A00315209" target="_blank" >RIV/68407700:21230/17:00315209 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.5220/0006121200630074" target="_blank" >http://dx.doi.org/10.5220/0006121200630074</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.5220/0006121200630074" target="_blank" >10.5220/0006121200630074</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Computing Maxmin Strategies in Extensive-form Zero-sum Games with Imperfect Recall

  • Original language description

    Extensive-form games with imperfect recall are an important game-theoretic model that allows a compact representation of strategies in dynamic strategic interactions. Practical use of imperfect recall games is limited due to negative theoretical results: a Nash equilibrium does not have to exist, computing maxmin strategies is NP-hard, and they may require irrational numbers. We present the first algorithm for approximating maxmin strategies in two-player zero-sum imperfect recall games without absentmindedness. We modify the wellknown sequence-form linear program to model strategies in imperfect recall games resulting in a bilinear program and use a recent technique to approximate the bilinear terms. Our main algorithm is a branch-andbound search that provably reaches the desired approximation after an exponential number of steps in the size of the game. Experimental evaluation shows that the proposed algorithm can approximate maxmin strategies of randomly generated imperfect recall games of sizes beyond toy-problems within few minutes.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

    <a href="/en/project/GA15-23235S" target="_blank" >GA15-23235S: Abstractions and Extensive-Form Games with Imperfect Recall</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2017

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Proceedings of the 9th International Conference on Agents and Artificial Intelligence - Volume 2

  • ISBN

    978-989-758-220-2

  • ISSN

  • e-ISSN

  • Number of pages

    12

  • Pages from-to

    63-74

  • Publisher name

    SciTePress - Science and Technology Publications

  • Place of publication

    Porto

  • Event location

    Porto

  • Event date

    Feb 24, 2017

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000413244200006