. Written by experts in the field, Markov games and the use of non-classical criteria).Markov Decision Processes (MDPs) are a mathematical framework for modeling sequential decision problems under uncertainty as well as Reinforcement Learning problems. Then it presents more advanced research trends in the domain and gives some concrete examples using illustrative applications, 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
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Buffet Olivier Markov Decision Processes in Artificial Intelligence
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