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Markov Decision Processes: Discrete Stochastic Dynamic Programming - Wiley Series in Probability and Statistics
Puterman, Martin L. (University of British Columbia)
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
Médias | Livres Paperback Book (Livre avec couverture souple et dos collé) |
Validé | 25 février 2005 |
ISBN13 | 9780471727828 |
Éditeurs | John Wiley & Sons Inc |
Pages | 684 |
Dimensions | 155 × 234 × 32 mm · 1,01 kg |
Langue et grammaire | English |