Markov decision processes: discrete stochastic dynamic programming. Martin L. Puterman
Markov-decision-processes.pdf
ISBN: 9780471619772 | 666 pages | 17 Mb
- Markov decision processes: discrete stochastic dynamic programming
- Martin L. Puterman
- Page: 666
- Format: pdf, ePub, fb2, mobi
- ISBN: 9780471619772
- Publisher: Wiley-Interscience
Ebook kindle format free download Markov decision processes: discrete stochastic dynamic programming by Martin L. Puterman
<p>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.</p> <p> From the Publisher</p> <p> 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. </p>
Reading List: MDPs and POMDPs for very large state spaces
Markov Decision Processes: Discrete Stochastic Dynamic Programming. John Wiley & Sons, New York. [Ravindran and Barto, 2001]: Ravindran, B. and Barto,
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2) Markov Decision Processes: Discrete Stochastic Dynamic Programming by Martin L. Puterman. Wiley, 2005. ISBN: 9780471727828. 3) Stochastic Processes
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The theory of Markov Decision Processes is the theory of controlled
Keywords and Phrases: Markov Decision Process, Markov Chain, Bell- man Equation . Markov decision processes: discrete stochastic dynamic programming.
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Martin L. Puterman (1994) Markov Decision Processes: Discrete Stochastic Dynamic Programming Wiley. Larry Epstein and Stan Zin (1989)
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Semi-Markov decision processes, performance potentials, neuro-dynamic program- to solve the optimization problems of large-scale discrete event dynamic .. M L. Markov Decision Processes: Discrete Stochastic Dynamic Programming.
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