Markov Decision Processes : Discrete Stochastic Dynamic Programming /
Contenido: 1) Introducción; 2) Formulación del modelo; 3) Ejemplos; 4) Procesos de decisión de Markov de horizonte finito; 5) Fundamentos: modelos de horizonte finito; 6) Problemas descontados de la decisión de Markov; 7) Criterio previsto del total-recompensa; 8) Promedio de recompensa y criterios...
-д хадгалсан:
| Үндсэн зохиолч: | |
|---|---|
| Формат: | Ном |
| Хэл сонгох: | англи |
| Хэвлэсэн: |
Hoboken, EUA :
Wiley-Interscience,
2005, c2005
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| Цуврал: | (Wiley Series in Probability and Statistics)
(Wiley Interscience Paperback Series) |
| Нөхцлүүд: | |
| Шошгууд: |
Шошго байхгүй, Энэхүү баримтыг шошголох эхний хүн болох!
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Ижил төстэй зүйлс: Markov Decision Processes :
- Markov Chain Monte Carlo : Stochastic Simulation for Bayesian Inference /
- Markov Chain Monte Carlo in Practice /
- Diffusions, Markov Processes and Martingales : Foundations /
- Diffusions, Markov Processes and Martingales : Itô Calculus /
- Approximate Dynamic Programming : Solving the Curses of Dimensionality /
- Markov Chains and Stochastic Stability /