Markov Decision Processes

Markov Decision Processes
Author: Martin L. Puterman
Publisher: John Wiley & Sons
Total Pages: 544
Release: 2014-08-28
Genre: Mathematics
ISBN: 1118625870


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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


Markov Decision Processes
Language: en
Pages: 544
Authors: Martin L. Puterman
Categories: Mathematics
Type: BOOK - Published: 2014-08-28 - Publisher: John Wiley & Sons

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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 g
Handbook of Markov Decision Processes
Language: en
Pages: 560
Authors: Eugene A. Feinberg
Categories: Business & Economics
Type: BOOK - Published: 2012-12-06 - Publisher: Springer Science & Business Media

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Eugene A. Feinberg Adam Shwartz This volume deals with the theory of Markov Decision Processes (MDPs) and their applications. Each chapter was written by a lead
Markov Decision Processes with Applications to Finance
Language: en
Pages: 393
Authors: Nicole Bäuerle
Categories: Mathematics
Type: BOOK - Published: 2011-06-06 - Publisher: Springer Science & Business Media

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The theory of Markov decision processes focuses on controlled Markov chains in discrete time. The authors establish the theory for general state and action spac
Planning with Markov Decision Processes
Language: en
Pages: 194
Authors: Mausam Natarajan
Categories: Computers
Type: BOOK - Published: 2022-06-01 - Publisher: Springer Nature

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Markov Decision Processes (MDPs) are widely popular in Artificial Intelligence for modeling sequential decision-making scenarios with probabilistic dynamics. Th
Markov Decision Processes in Practice
Language: en
Pages: 552
Authors: Richard J. Boucherie
Categories: Business & Economics
Type: BOOK - Published: 2017-03-10 - Publisher: Springer

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This book presents classical Markov Decision Processes (MDP) for real-life applications and optimization. MDP allows users to develop and formally support appro