Markov Decision Processes in Artificial Intelligence

Nonfiction, Science & Nature, Technology, Electronics
Cover of the book Markov Decision Processes in Artificial Intelligence by , Wiley
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Author: ISBN: 9781118620106
Publisher: Wiley Publication: March 4, 2013
Imprint: Wiley-ISTE Language: English
Author:
ISBN: 9781118620106
Publisher: Wiley
Publication: March 4, 2013
Imprint: Wiley-ISTE
Language: English

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-classical criteria). Then it presents more advanced research trends in the domain and gives some concrete examples using illustrative applications.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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-classical criteria). Then it presents more advanced research trends in the domain and gives some concrete examples using illustrative applications.

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