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Markov Decision Processes in Artificial Intelligence
Description
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.
Details
Year:
2010
Pages:
466
Language:
English
Format:
PDF
Size:
40 MB
ISBN-10:
1848211678
ISBN-13:
978-1848211674
ASIN:
B00BQ15MN2
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