+#####Publisher: Wiley-Interscience

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+![Markov decision processes: discrete stochastic dynamic programming](http://ecx.images-amazon.com/images/I/41SqMuaUIZL.jpg "Markov decision processes: discrete stochastic dynamic programming")

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+**File name: [Markov-decision-processes.pdf](http://ebooksharez.info/download.php?group=book&from=bitbucket.org&id=501170&lnk=MjAxOS0wOC0yNg-- "Markov-decision-processes.pdf")**

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+ISBN: 9780471619772  | 666 pages | 17 Mb

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+[![Focus](https://i.imgur.com/cy0NeFi.jpg)](http://ebooksharez.info/download.php?group=book&from=bitbucket.org&id=501170&lnk=MjAxOS0wOC0yNg--)  

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+Overview

+An up-to-date, unified and rigorous treatment of theoretical, computational and applied research on Markov decision process models. Concentrates on infinite-horizon discrete-time models. Discusses arbitrary state spaces, finite-horizon and continuous-time discrete-state models. Also covers modified policy iteration, multichain models with average reward criterion and sensitive optimality. Features a wealth of figures which illustrate examples and an extensive bibliography.

+      From the Publisher

+  An up-to-date, unified and rigorous treatment of theoretical, computational and applied research on Markov decision process models. Concentrates on infinite-horizon discrete-time models. Discusses arbitrary state spaces, finite-horizon and continuous-time discrete-state models. Also covers modified policy iteration, multichain models with average reward criterion and sensitive optimality. Features a wealth of figures which illustrate examples and an extensive bibliography.

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