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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
| Medios de comunicación | Libros Paperback Book (Libro con tapa blanda y lomo encolado) |
| Publicado | 25 de febrero de 2005 |
| ISBN13 | 9780471727828 |
| Editores | John Wiley & Sons Inc |
| Páginas | 684 |
| Dimensiones | 155 × 234 × 32 mm · 1,01 kg |
| Lengua | English |