Markov Decision Processes: Discrete Stochastic Dynamic Programming (Wiley Series in Probability and Statistics)

Puterman Martin, L.:

ISBN 10: 0471619779 / ISBN 13: 9780471619772

Published by John Wiley & Sons Inc, 1994

About this Item

672 Seiten; 9780471619772.3 Gewicht in Gramm: 2.

Seller Inventory # 912870

Bibliographic Details

• Title: Markov Decision Processes: Discrete Stochastic Dynamic Programming (Wiley Series in Probability and Statistics)
• Publisher: John Wiley & Sons Inc
• Publication Date: 1994
• Language: English
• ISBN 10: 0471619779
• ISBN 13: 9780471619772
• Binding: hardcover
• Condition: Gut
• Seller catalogs:
  • Varia

About this title

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.

From the Back Cover

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