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Markov Decision Processes in Artificial Intelligence

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 | #2887116 in Books |  2010-03-15 | Original language:English | PDF # 1 |  9.30 x1.40 x6.20l,1.80 | File type: PDF | 480 pages

|| |"As an overall conclusion, this book is an extensive presentation of MDPs and their applications in modeling uncertain decision problems and in reinforcement learning." (Zentralblatt MATH, 2011) | "The range of subjects covered is fascinating, however, from g

Markov Decision Processes (MDPs) are a mathematical framework for modeling sequential decision problems under uncertainty as well as Reinforcement Learning problems. Written by experts in the field, this book provides a global view of current research using MDPs in Artificial Intelligence. It starts with an introductory presentation of the fundamental aspects of MDPs (planning in MDPs, Reinforcement Learning, Partially Observable MDPs, Markov games and the use of non-cla...

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