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Markov Decision Processes

Discrete Stochastic Dynamic Programming
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Book Hero Magic crafted this summary to help describe this book. While it's new and still learning, it may not be perfect - your feedback is welcome! Summary
Markov Decision Processes by Martin L. Puterman offers a comprehensive and rigorous exploration of discrete-time Markov decision processes, blending theory with practical applications. This extensive volume presents foundational mathematical concepts alongside numerous examples, exercises, and detailed bibliographical references that connect historical context with cutting-edge research potential.
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Book Hero Magic created this recommendation. While it's new and still learning, it may not be perfect - your feedback is welcome! IS THIS YOUR NEXT READ?

This book is ideal for advanced-level students, researchers, and professional practitioners in statistics, mathematics, and related sciences seeking an in-depth, unified treatment of Markov decision processes and dynamic programming techniques.

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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.

Book Hero Magic formatted this description to make it easier to read. While it's new and still learning, it may not be perfect - your feedback is welcome! 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

Series: Wiley Series in Probability and Statistics

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Book Details

INFORMATION

ISBN: 9780471727828

Publisher: John Wiley & Sons Inc

Format: Paperback / softback

Date Published: 25 February 2005

Country: United States

Imprint: Wiley-Interscience

Audience: Professional and scholarly

DIMENSIONS

Spine width: 36.0mm

Width: 155.0mm

Height: 234.0mm

Weight: 948g

Pages: 684

About the Author

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.

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