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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 2025-3-23 13:36:24 | 只看該作者
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發(fā)表于 2025-3-23 15:34:31 | 只看該作者
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發(fā)表于 2025-3-24 00:30:43 | 只看該作者
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發(fā)表于 2025-3-24 03:25:06 | 只看該作者
Textbook 1997ig- 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 vie
16#
發(fā)表于 2025-3-24 07:24:08 | 只看該作者
resent 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
17#
發(fā)表于 2025-3-24 12:02:17 | 只看該作者
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Introductionley (1953) even though some authors use the name ., which probably dates back to Zachrisson (1964). Markov decision processes are also called . by the engineers, and it appears that their evolution was stimulated by the books of Bellman (1957) and Howard (1960).
20#
發(fā)表于 2025-3-25 02:09:09 | 只看該作者
Stochastic Games via Mathematical Programming coupled or because their rewards are coupled, or both. It is assumed that the players have complete knowledge of these coupling functions but that they behave “noncooperatively,” that is, they choose their controls without any collusion and with the single-minded purpose of each maximizing her/his own payoff criterion.
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