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Science/Engineering Markov Decision Processes: Discrete Stochastic Dynamic Programming

Posted on 2010-03-15




Name:Science/Engineering Markov Decision Processes: Discrete Stochastic Dynamic Programming
ASIN/ISBN:0471619779
Language:English
File size:24.2 Mb
Publish Date: 1994-04-15
ISBN: 0471619779
Pages: 672 pages
File Type: PDF
File Size: 24,2 MB
Other Info: Wiley-Interscience
   Science/Engineering Markov Decision Processes: Discrete Stochastic Dynamic Programming

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Martin L. Puterman, "Markov Decision Processes: Discrete Stochastic Dynamic Programming"

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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