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  • 标题:Markov Decision Processes and Stochastic Games with Total Effective Payoff
  • 本地全文:下载
  • 作者:Endre Boros ; Khaled Elbassioni ; Vladimir Gurvich
  • 期刊名称:LIPIcs : Leibniz International Proceedings in Informatics
  • 电子版ISSN:1868-8969
  • 出版年度:2015
  • 卷号:30
  • 页码:103-115
  • DOI:10.4230/LIPIcs.STACS.2015.103
  • 出版社:Schloss Dagstuhl -- Leibniz-Zentrum fuer Informatik
  • 摘要:We consider finite Markov decision processes (MDPs) with undiscounted total effective payoff. We show that there exist uniformly optimal pure stationary strategies that can be computed by solving a polynomial number of linear programs. We apply this result to two-player zero-sum stochastic games with perfect information and undiscounted total effective payoff, and derive the existence of a saddle point in uniformly optimal pure stationary strategies.
  • 关键词:Markov decision processes; undiscounted stochastic games; linear programming; mean payoff; total payoff
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