Markov Decision Processes in Artificial Intelligence
Markov Decision Processes in Artificial Intelligence
- ISBN 13:
9781118557426
- ISBN 10:
1118557425
- Edition: 1st
- Format: eBook
- Copyright: 01/15/2013
- Publisher: Wiley-ISTE
Rent
Sorry, this item is currently unavailable.
Note: Supplemental materials are not guaranteed with Rental or Used book purchases.
Extend or Purchase Your Rental at Any Time
Need to keep your rental past your due date? At any time before your due date you can extend or purchase your rental through your account.
Summary
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.