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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
Puterman, Martin L. (University of British Columbia)
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 | March 3, 2005 |
| ISBN13 | 9780471727828 |
| Publishers | John Wiley & Sons Inc |
| Pages | 684 |
| Dimensions | 155 × 234 × 32 mm · 1.01 kg |
| Language | English |
