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"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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