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Markov Decision Processes: Discrete Stochastic Dynamic Programming

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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.

Markov Decision Processes: Discrete Stochastic Dynamic Programming 2005, Wiley-Interscience

ISBN-13: 9780471727828

Trade paperback

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Markov Decision Processes: Discrete Stochastic Dynamic Programming 1994, Wiley-Interscience, New York, NY

ISBN-13: 9780471619772

Hardcover

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