Markov Decision Processes in Artificial Intelligence [推广有奖]

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lg21c 发表于 2019-6-6 21:26:08 |AI写论文

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Markov Decision Processes in Artificial Intelligence[size=0.75]Editor(s):

Olivier Sigaud
Olivier Buffet

[size=0.75]First published:28 February 2013
[size=0.75]Print ISBN:9781848211674 |Online ISBN:9781118557426 |DOI:10.1002/9781118557426
[size=0.75]Copyright © 2010 by John Wiley & Sons, Inc.
[size=0.75]

Markov Decision Processes in Artificial Intelligence .pdf (19.1 MB, 需要: 10 个论坛币) [size=1.75]About this book
[size=0.75]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.