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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

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<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>

Course syllabus.
Continuous-Time Jump Markov Decision Processes. M.L. Puterman, Markov Decision Processes: Discrete Stochastic Dynamic Programming, Wiley&Sons,  Risk-Sensitive and Average Optimality in Markov Decision Processes
Keywords: dynamic programming, stochastic models, risk analysis and man- In this note, we consider unichain Markov decision processes with finite state space .. Markov Decision Processes – Discrete Stochastic Dynamic Programming. Tan , Hartman : Sensitivity analysis in Markov decision processes
Mathematical Reviews (MathSciNet): MR2347698. Puterman, M. L. (1994). Markov Decision Processes. Discrete Stochastic Dynamic Programming. John Wiley  Markov Decision Processes~Discrete Stochastic Dynamic - 4Shared
Markov Decision Processes~Discrete Stochastic Dynamic Programming By Martin L. Puterman - download at 4shared. Markov Decision Processes~Discrete   2 Dynamic Programming – Finite Horizon
possibly stochastic systems. - discrete The standard model for such problems is Markov Decision Processes (MDPs). D. Bertsekas, Dynamic Programming and Optimal Control, Vol.1+2, 3rd. ed. (a discrete-time, finite horizon problem). 2. faster dynamic programming for markov decision processes
FASTER DYNAMIC PROGRAMMING FOR MARKOV DECISION Markov Decision Processes: Discrete Stochastic Dynamic Program- ming. Markov Decision Processes Discrete Stochastic Dynamic
Markov Decision Processes Discrete Stochastic Dynamic Programming,Wiley Stochastic Linear Programming - Models, Theory, and Comput. Biasing Approximate Dynamic Programming with a Lower Discount
Most algorithms for solving Markov decision processes rely on a discount factor, .. Markov decision processes: Discrete stochastic dynamic programming.

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