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  • 标题:Multiple-Environment Markov Decision Processes
  • 本地全文:下载
  • 作者:Jean-Francois Raskin ; Ocan Sankur
  • 期刊名称:LIPIcs : Leibniz International Proceedings in Informatics
  • 电子版ISSN:1868-8969
  • 出版年度:2014
  • 卷号:29
  • 页码:531-543
  • DOI:10.4230/LIPIcs.FSTTCS.2014.531
  • 出版社:Schloss Dagstuhl -- Leibniz-Zentrum fuer Informatik
  • 摘要:We introduce Multi-Environment Markov Decision Processes (MEMDPs) which are MDPs with a set of probabilistic transition functions. The goal in an MEMDP is to synthesize a single controller strategy with guaranteed performances against all environments even though the environment is unknown a priori. While MEMDPs can be seen as a special class of partially observable MDPs, we show that several verification problems that are undecidable for partially observable MDPs, are decidable for MEMDPs and sometimes have even efficient solutions.
  • 关键词:Markov decision processes; probabilistic systems; multiple objectives
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