Markov Decision Processes in Artificial Intelligence Hardback
Edited by Olivier Sigaud, Olivier Buffet
Hardback
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).
It then presents more advanced research trends in the field and gives some concrete examples using illustrative real life applications.
Information
-
Item not Available
- Format:Hardback
- Pages:480 pages
- Publisher:ISTE Ltd and John Wiley & Sons Inc
- Publication Date:09/02/2010
- Category:
- ISBN:9781848211674
Information
-
Item not Available
- Format:Hardback
- Pages:480 pages
- Publisher:ISTE Ltd and John Wiley & Sons Inc
- Publication Date:09/02/2010
- Category:
- ISBN:9781848211674