Ebook kostenlos ebooks descargar Markov decision processes: discrete stochastic dynamic programming 9780471619772 ePub PDF DJVU de Martin L. Puterman en español

Markov decision processes: discrete stochastic dynamic programming

Markov decision processes: discrete stochastic dynamic programming

by Martin L. Puterman

Editorial: Wiley-Interscience
ISBN: 9780471619772
Número de páginas: 666
Formatos: pdf, ePub, mobi, fb2
Tamaño de archivo: 17 Mb
Fecha de publicación: 2020-08-09
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Descripción

<p>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.</p> <p> From the Publisher</p> <p> 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. </p>