• DocumentCode
    531447
  • Title

    Selecting Behavior on Repeated Local Effect Functions

  • Author

    Igoshi, Kazuho ; Miura, Takao

  • Author_Institution
    Dept.of Electr. & Electr. Eng., HOSEI Univ., Tokyo, Japan
  • Volume
    2
  • fYear
    2010
  • fDate
    Aug. 31 2010-Sept. 3 2010
  • Firstpage
    229
  • Lastpage
    233
  • Abstract
    In this study, under multi-agent environment, we introduce a notion of probabilistic Nash equilibrium into reinforcement learning method. Here we take an approach of mixed Nash strategy based on correlated technique in terms of Local Effect functions. We examine some experiment results to show some ideal properties for cooperative approach.
  • Keywords
    learning (artificial intelligence); multi-agent systems; probability; correlated technique; local effect functions; multiagent environment; probabilistic Nash equilibrium; reinforcement learning method; repeated local effect functions; selecting behavior; Local Effect Games; Multi-Agent System; Nash equilibrium;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Web Intelligence and Intelligent Agent Technology (WI-IAT), 2010 IEEE/WIC/ACM International Conference on
  • Conference_Location
    Toronto, ON
  • Print_ISBN
    978-1-4244-8482-9
  • Electronic_ISBN
    978-0-7695-4191-4
  • Type

    conf

  • DOI
    10.1109/WI-IAT.2010.166
  • Filename
    5616284
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=531447