Description: Markov Decision Processes : Discrete Stochastic Dynamic Programming, Paperback by Putermanok, ISBN 0471727822, ISBN-13 9780471727828, Like New Used, Free P&P in the UK
The Wiley-Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. With these new unabridged softcover volumes, Wiley hopes to extend the lives of these works by making them available to future generations of statisticians, mathematicians, and scientists.
"This text is unique in bringing together so many results hitherto found only in part in other texts and papers. . . . The text is fairly self-contained, inclusive of some basic mathematical results needed, and provides a rich diet of examples, applications, and exercises. The bibliographical material at the end of each chapter is excellent, not only from a historical perspective, but because it is valuable for researchers in acquiring a good perspective of the MDP research potential."
—Zentralblatt fur Mathematik
". . . it is of great value to advanced-level students, researchers, and professional practitioners of this field to have now a complete volume (with more than 600 pages) devoted to this topic. . . . Markov Decision Processes: Discrete Stochastic Dynamic Programming represents an up-to-date, unified, and rigorous treatment of theoretical and computational aspects of discrete-time Markov decision processes."
—Journal of the American Statistical Association
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End Time: 2024-11-22T10:17:10.000Z
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Book Title: Markov Decision Processes : Discrete Stochastic Dynamic Programmi
Item Height: 234 mm
Item Width: 156 mm
Series: Wiley Series in Probability and Statistics
Author: Martin L. Puterman
Publication Name: Markov Decision Processes: Discrete Stochastic Dynamic Programming
Format: Paperback
Language: English
Publisher: John Wiley & Sons INC International Concepts
Subject: Mathematics
Publication Year: 2005
Type: Textbook
Item Weight: 994 g
Number of Pages: 684 Pages