Markov Decision Processes: Discrete Stochastic Dynamic Programming - Wiley Series in Probability and Statistics - Puterman, Martin L. (University of British Columbia) - Books - John Wiley & Sons Inc - 9780471727828 - February 25, 2005
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Markov Decision Processes: Discrete Stochastic Dynamic Programming - Wiley Series in Probability and Statistics

Puterman, Martin L. (University of British Columbia)

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Markov Decision Processes: Discrete Stochastic Dynamic Programming - Wiley Series in Probability and Statistics

This book is an up-to-date, unified and rigorous treatment of theoretical, computational and applied research on Markov decision process models. The concentration of the book is on infinite-horizon discrete-time models, and it also discusses arbitrary state spaces, finite-horizon and continuous-time discrete-state models.

680 pages, Illustrations

Media Books     Paperback Book   (Book with soft cover and glued back)
Released February 25, 2005
ISBN13 9780471727828
Publishers John Wiley & Sons Inc
Pages 684
Dimensions 155 × 234 × 32 mm   ·   1.01 kg
Language English  

See all of Puterman, Martin L. (University of British Columbia) ( e.g. Paperback Book )