Markov Decision Processes: Discrete Stochastic Dynamic Programming

This book is an up-to-date, unified and rigorous treatment of theoretical, computational and applied research on Markov decision process models. The concentration of the book is on infinite-horizon discrete-time models, and it also discusses arbitrary state spaces, finite-horizon and continuous-time discrete-state models.

• | By (Author): Martin L. Puterman
• | Series: Wiley Series in Probability and Statistics
• | Publisher: John Wiley & Sons Inc
• | Publication Date: Feb 25, 2005
• | Country of Publication: United States
• | Number of Pages: 684 pages
• | Language: Not available
• | Binding: Paperback|Softback
• | ISBN-10: 0007233485
• | ISBN-13: 9780471727828