Markov Decision Processes Discrete Stochastic Dynamic Programming

Martin L. Puterman

ISBN 10: 0471727822 / ISBN 13: 9780471727828

Edité par Wiley-Interscience, 2007

A propos de cet article

1st edition. 680 pages. 9.00x6.00x1.50 inches. In Stock.

N° de réf. du vendeur __0471727822

Détails bibliographiques

• Titre: Markov Decision Processes Discrete Stochastic Dynamic Programming
• Éditeur: Wiley-Interscience
• Date de parution: 2007
• Langue: anglais
• ISBN à 10 chiffres: 0471727822
• ISBN à 13 chiffres: 9780471727828
• Reliure: Paperback
• État 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.

À 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.