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Sigaud, Olivier

Markov Decision Processes in Artificial Intelligence

Sigaud, Olivier - Markov Decision Processes in Artificial Intelligence, ebook

151,80€

Ebook, ePUB with Adobe DRM
ISBN: 9781118620106
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Printing30 pages with an additional page accrued every day, capped at 30 pages
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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.

Keywords: Intelligent Systems & Agents

Author(s)
 
Publisher
John Wiley and Sons, Inc.
Publication year
2010
Language
en
Edition
1
Series
ISTE
Category
Technology, Energy, Traffic
Format
Ebook
eISBN (ePUB)
9781118620106
Printed ISBN
9781848211674

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