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Titre: Markov Decision Processes Discrete Stochastic Dynamic Programming
�diteur: John Wiley & Sons, Incorporated
Date de parution: 2005
Langue: anglais
ISBN � 10 chiffres: 0471727822
ISBN � 13 chiffres: 9780471727828
Reliure: Couverture souple
�tat de l'article: Brand New

A propos de ce titre

Synopsis

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.

� propos de l?auteur

Martin L. Puterman, PhD, is Advisory Board Professor of Operations and Director of the Centre for Operations Excellence at The University of British Columbia in Vancouver, Canada.

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