Markov Decision Processes: Discrete Stochastic Dynamic Programming

Puterman, Martin L.

ISBN 10: 0471727822 / ISBN 13: 9780471727828

Edité par Wiley-Interscience, 2005

A propos de cet article

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Détails bibliographiques

• Titre: Markov Decision Processes: Discrete Stochastic Dynamic Programming
• Éditeur: Wiley-Interscience
• Date de parution: 2005
• Langue: anglais
• ISBN à 10 chiffres: 0471727822
• ISBN à 13 chiffres: 9780471727828
• Reliure: paperback
• État de l'article: Good

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.