Стохастические процессы

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Markov Decision Processes

Автор: White D.J.
Год: 1993
Издание:

Страниц: [не указано]
ISBN: [не указан]
An up-to-date, unified and rigorous treatment of theoretical, computational and applied research on Markov decision process models. Concentrates on infinite-horizon discrete-time models. Discusses arbitrary state spaces, finite-horizon and continuous-time discrete-state models. Also covers modified policy iteration, multichain models with average reward criterion and sensitive optimality. Features a wealth of figures which illustrate examples and an extensive bibliography.
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