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Markov decision processes: discrete stochastic dynamic programming by Martin L. Puterman
Markov decision processes: discrete stochastic dynamic programming
Markov decision processes: discrete stochastic dynamic programming Martin L. Puterman ebook
- Page: 666
- Format: pdf
- ISBN: 9780471619772
- Publisher: Wiley-Interscience
Overview
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.
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