Markov Decision Processes in Artificial Intelligence
Copyright © 2010 by John Wiley & Sons, Inc.
Editor(s): Olivier Sigaud, Olivier Buffet
Published Online: 7 MAR 2013 10:49PM EST
Print ISBN: 9781848211674
Online ISBN: 9781118557426
About this Book
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.