9781118625873-1118625870-Markov Decision Processes: Discrete Stochastic Dynamic Programming

Markov Decision Processes: Discrete Stochastic Dynamic Programming

ISBN-13: 9781118625873
ISBN-10: 1118625870
Author: Martin L. Puterman
Publication date: 2014
Publisher: Wiley-Interscience
Format: Kindle Edition 684 pages
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Book details

ISBN-13: 9781118625873
ISBN-10: 1118625870
Author: Martin L. Puterman
Publication date: 2014
Publisher: Wiley-Interscience
Format: Kindle Edition 684 pages

Summary

Markov Decision Processes: Discrete Stochastic Dynamic Programming (ISBN-13: 9781118625873 and ISBN-10: 1118625870), written by authors Martin L. Puterman, was published by Wiley-Interscience in 2014. With an overall rating of 4.0 stars, it's a notable title among other books. You can easily purchase or rent Markov Decision Processes: Discrete Stochastic Dynamic Programming (Kindle Edition) from BooksRun, along with many other new and used books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.58.

Description

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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