Markov Decision Processes in Practice, Richard Boucherie; Nico M van Dijk

Автор: L. C. G. Rogers
Название: Diffusions, Markov Processes and Martingales
ISBN: 0521775930 ISBN-13(EAN): 9780521775939
Издательство: Cambridge Academ
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Цена: 77090.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This celebrated volume gives an accessible introduction to stochastic integrals, stochastic differential equations, excursion theory and the general theory of processes. Together with its companion, it helps equip graduate students for research into a subject of great intrinsic interest and wide application.

Автор: L. C. G. Rogers
Название: Diffusions, Markov Processes, and Martingales
ISBN: 0521775949 ISBN-13(EAN): 9780521775946
Издательство: Cambridge Academ
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Цена: 76030.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Now available in paperback, this celebrated book has been prepared with readers` needs in mind, remaining a systematic treatment of the subject whilst retaining its vitality. Together with its companion volume, it helps equip graduate students for research into a subject of great intrinsic interest and wide application.

Автор: Hernandez-Lerma
Название: Discrete-Time Markov Control Processes
ISBN: 0387945792 ISBN-13(EAN): 9780387945798
Издательство: Springer
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Цена: 121110.00 T
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Описание: This text provides a unified treatment of some recent theoretical developments on Markov control processes. Interest is mainly confined to MCPs with Borel state and control spaces, and possibly unbound costs and non-compact control constraint sets.

Автор: Martin L. Puterman
Название: Markov Decision Processes: Discrete Stochastic Dynamic Programming
ISBN: 0471727822 ISBN-13(EAN): 9780471727828
Издательство: Wiley
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Цена: 137230.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: 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.