Markov decision processes: discrete stochastic dynamic programming. Martin L. Puterman

Markov decision processes: discrete stochastic dynamic programming


Markov-decision-processes.pdf
ISBN: 9780471619772 | 666 pages | 17 Mb

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  • 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>

Stochastic dynamic programming with factored representations
Markov decision processes (MDPs) have proven to be popular models for decision-theoretic planning, but standard dynamic programming algorithms for solving  Linear Programming Solvers for Markov Decision Processes
for Markov Decision Processes, as an extension to the JMDP program. JMDP is an .. [2] M. Puterman, Markov decision processes: discrete stochastic dynamic. Markov Decision Processes: Discrete Stochastic Dynamic
Buy Markov Decision Processes: Discrete Stochastic Dynamic Programming for $125 or Compare prices of 635832 products in Books from 345 Online Stores Markov Decision Processes: Discrete Stochastic Dynamic
Markov Decision Processes: Discrete Stochastic Dynamic Programming. Download full text. Full access. DOI: 10.1080/00401706.1995. Bayesian Real-time Dynamic Programming
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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