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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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

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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

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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).

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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.