Markov decision processes: discrete stochastic dynamic programming by Martin L. Puterman
- Markov decision processes: discrete stochastic dynamic programming
- Martin L. Puterman
- Page: 666
- Format: pdf, ePub, mobi, fb2
- ISBN: 9780471619772
- Publisher: Wiley-Interscience
Amazon audible book downloads Markov decision processes: discrete stochastic dynamic programming iBook CHM ePub by Martin L. Puterman 9780471619772
<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>
Markov decision processes: discrete stochastic dynamic programming
BOOK REVIEWS. 97 historical remarks, moments and properties of the distribution, estimation of parameters, areas of application, and relationships to other
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Puterman, Martin L. Markov decision processes : discrete stochastic dynamic programming. ISBN: 0471727822. Dynamic programming
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In Markov decision processes $[6, 17]$ , it has been tacitly knownthat .. Puterman, Markov Decision Processes :discrete stochastic dynamic programming,New.
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Markov decision processes : discrete stochastic dynamic programming
Livre: Markov decision processes : discrete stochastic dynamic programming PUTERMAN Martin L.
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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Topics covered include: Mathematical programming: Markov decision processes (the Markov Decision Processes: Discrete Stochastic Dynamic Programming.
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Markov decision processes (MDPs) when the initial stochastic planning problems. In an MDP, the agent com- chronous dynamic programming solutions to MDPs [Bert- sekas Processes: Discrete Stochastic Dynamic Programming.
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Markov Decision Processes: Discrete Stochastic Dynamic Programming (Wiley Series in Probability and Statistics) By Martin L. Puterman
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Title, Markov Decision Processes : Discrete Stochastic Dynamic Programming. Author(s), Puterman, Martin L. Imprint, Hoboken : John Wiley
On Discounted Dynamic Programming with Unbounded Returns
Rodrigues-Palmero (2003, 2007) to study discounted stochastic dynamic theory of stochastic dynamic programming (or Markov decision processes) with un- .. A discrete-time Markov decision process considered in this paper is defined by
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