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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
| Mediji | Grāmatas Paperback Book (Grāmata ar mīksto vāku un līmēto muguru) |
| Izlaists | 2005. gada 3. marts |
| ISBN13 | 9780471727828 |
| Izdevēji | John Wiley & Sons Inc |
| Lapas | 684 |
| Izmēri | 155 × 234 × 32 mm · 1,01 kg |
| Valoda | Angļu |
