Author : Olivier Sigaud
Release : 2013-03-04
Genre : Technology & Engineering
Kind : eBook
Book Rating : 100/5 ( reviews)
Book Synopsis Markov Decision Processes in Artificial Intelligence by : Olivier Sigaud
Download or read book Markov Decision Processes in Artificial Intelligence written by Olivier Sigaud. This book was released on 2013-03-04. Available in PDF, EPUB and Kindle. Book excerpt: 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). It then presents more advanced research trends in the field and gives some concrete examples using illustrative real life applications.