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Titlebook: Competitive Markov Decision Processes; Jerzy Filar,Koos Vrieze Textbook 1997 Springer-Verlag New York, Inc. 1997 Markov.Markov chain.Marko

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發(fā)表于 2025-3-21 19:01:09 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Competitive Markov Decision Processes
編輯Jerzy Filar,Koos Vrieze
視頻videohttp://file.papertrans.cn/232/231213/231213.mp4
圖書封面Titlebook: Competitive Markov Decision Processes;  Jerzy Filar,Koos Vrieze Textbook 1997 Springer-Verlag New York, Inc. 1997 Markov.Markov chain.Marko
描述This book is intended as a text covering the central concepts and techniques of Competitive Markov Decision Processes. It is an attempt to present a rig- orous treatment that combines two significant research topics: Stochastic Games and Markov Decision Processes, which have been studied exten- sively, and at times quite independently, by mathematicians, operations researchers, engineers, and economists. Since Markov decision processes can be viewed as a special noncompeti- tive case of stochastic games, we introduce the new terminology Competi- tive Markov Decision Processes that emphasizes the importance of the link between these two topics and of the properties of the underlying Markov processes. The book is designed to be used either in a classroom or for self-study by a mathematically mature reader. In the Introduction (Chapter 1) we outline a number of advanced undergraduate and graduate courses for which this book could usefully serve as a text. A characteristic feature of competitive Markov decision processes - and one that inspired our long-standing interest - is that they can serve as an "orchestra" containing the "instruments" of much of modern applied (and at times even
出版日期Textbook 1997
關鍵詞Markov; Markov chain; Markov decision process; algorithm; algorithms; linear algebra; linear optimization;
版次1
doihttps://doi.org/10.1007/978-1-4612-4054-9
isbn_softcover978-1-4612-8481-9
isbn_ebook978-1-4612-4054-9
copyrightSpringer-Verlag New York, Inc. 1997
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沙發(fā)
發(fā)表于 2025-3-21 21:16:23 | 只看該作者
,Die ?quivalenz von Masse und Energie,this book, the entire subject of Markov decision processes forms only a special case of the competitive Markov decision processes, that is, Stochastic Games. Namely, this is the case where there is only one controller, and hence the underlying mathematical problem is “merely” an optimization problem
板凳
發(fā)表于 2025-3-22 00:52:44 | 只看該作者
,Relativistische Ph?nomene und Paradoxa,ecision processes where there are two or more controllers, usually called ., whose fortunes are coupled either because the probability transitions are coupled or because their rewards are coupled, or both. It is assumed that the players have complete knowledge of these coupling functions but that th
地板
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發(fā)表于 2025-3-22 14:09:32 | 只看該作者
Die ganze Theorie auf einer Seite,In this chapter . stochastic games are treated. Most of the chapter is devoted to the zero-sum case. In Section 5.4, nonzero-sum games are studied.
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發(fā)表于 2025-3-22 17:03:29 | 只看該作者
Average Reward Stochastic GamesIn this chapter . stochastic games are treated. Most of the chapter is devoted to the zero-sum case. In Section 5.4, nonzero-sum games are studied.
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發(fā)表于 2025-3-23 06:11:34 | 只看該作者
,Die ?quivalenz von Masse und Energie,this book, the entire subject of Markov decision processes forms only a special case of the competitive Markov decision processes, that is, Stochastic Games. Namely, this is the case where there is only one controller, and hence the underlying mathematical problem is “merely” an optimization problem.
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