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Markov decision processes: discrete stochastic dynamic programming

Format Post in Mathematics BY Martin L. Puterman

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Markov decision processes: discrete stochastic dynamic programming Martin L. Puterman is available to download

Markov decision processes: discrete stochastic dynamic programming
Martin L.Markov decision processes: discrete ... Textbook Puterman
Type: eBook
Released: 1994
Publisher: Wiley-Interscience
Page Count: 666
Format: pdf
Language: English
ISBN-10: 0471619779
ISBN-13: 9780471619772
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. From the Publisher 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

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