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Sequence-Form Algorithm for Computing Stackelberg Equilibria in Extensive-Form Games

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F15%3A00235170" target="_blank" >RIV/68407700:21230/15:00235170 - isvavai.cz</a>

  • Result on the web

    <a href="http://www.aaai.org/ocs/index.php/AAAI/AAAI15/paper/view/9610" target="_blank" >http://www.aaai.org/ocs/index.php/AAAI/AAAI15/paper/view/9610</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Sequence-Form Algorithm for Computing Stackelberg Equilibria in Extensive-Form Games

  • Original language description

    Stackelberg equilibrium is a solution concept prescribing for a player an optimal strategy to commit to, assuming the opponent knows this commitment and plays the best response. Although this solution concept is a cornerstone of many security applications, the existing works typically do not consider situations where the players can observe and react to the actions of the opponent during the course of the game. We extend the existing algorithmic work to extensive-form games and introduce novel algorithmfor computing Stackelberg equilibria that exploits the compact sequence-form representation of strategies. Our algorithm reduces the size of the linear programs from exponential in the baseline approach to linear in the size of the game tree. Experimental evaluation on randomly generated games and a security-inspired search game demonstrates significant improvement in the scalability compared to the baseline approach.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/GAP202%2F12%2F2054" target="_blank" >GAP202/12/2054: Security Games in Extensive Form</a><br>

  • Continuities

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

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

    Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence and the Twenty-Seventh Innovative Applications of Artificial Intelligence Conference

  • ISBN

    978-1-57735-698-1

  • ISSN

    2159-5399

  • e-ISSN

  • Number of pages

    7

  • Pages from-to

    805-811

  • Publisher name

    AAAI Press

  • Place of publication

    Menlo Park

  • Event location

    Hyatt Regency in Austin, Texas

  • Event date

    Jan 25, 2015

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article