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Compact Representation of Value Function in Partially Observable Stochastic Games

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F19%3A00332701" target="_blank" >RIV/68407700:21230/19:00332701 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.ijcai.org/proceedings/2019/50" target="_blank" >https://www.ijcai.org/proceedings/2019/50</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.24963/ijcai.2019/50" target="_blank" >10.24963/ijcai.2019/50</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Compact Representation of Value Function in Partially Observable Stochastic Games

  • Original language description

    Value methods for solving stochastic games with partial observability model the uncertainty of the players as a probability distribution over possible states, where the dimension of the belief space is the number of states. For many practical problems, there are exponentially many states which causes scalability problems. We propose an abstraction technique that addresses this curse of dimensionality by projecting the high-dimensional beliefs onto characteristic vectors of significantly lower dimension (e.g., marginal probabilities). Our main contributions are (1) a novel compact representation of the uncertainty in partially observable stochastic games and (2) a novel algorithm using this representation that is based on existing state-of-the-art algorithms for solving stochastic games with partial observability. Experimental evaluation confirms that the new algorithm using the compact representation dramatically increases scalability compared to the state of the art.

  • 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/GJ19-24384Y" target="_blank" >GJ19-24384Y: Computing Equilibrium Strategies in Dynamic Games</a><br>

  • Continuities

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

Others

  • Publication year

    2019

  • 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 Twenty-Eighth International Joint Conference on Artificial Intelligence

  • ISBN

    978-0-9992411-4-1

  • ISSN

  • e-ISSN

    1045-0823

  • Number of pages

    7

  • Pages from-to

    350-356

  • Publisher name

    International Joint Conferences on Artificial Intelligence Organization

  • Place of publication

  • Event location

    Macau

  • Event date

    Aug 10, 2019

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article