Markov Decision Processes in Artificial Intelligence is popular PDF and ePub book, written by Olivier Sigaud in 2013-03-04, it is a fantastic choice for those who relish reading online the Technology & Engineering genre. Let's immerse ourselves in this engaging Technology & Engineering book by exploring the summary and details provided below. Remember, Markov Decision Processes in Artificial Intelligence can be Read Online from any device for your convenience.
Markov Decision Processes in Artificial Intelligence Book PDF 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). It then presents more advanced research trends in the field and gives some concrete examples using illustrative real life applications.
Detail Book of Markov Decision Processes in Artificial Intelligence PDF
- Author : Olivier Sigaud
- Release : 04 March 2013
- Publisher : John Wiley & Sons
- ISBN : 9781118620106
- Genre : Technology & Engineering
- Total Page : 367 pages
- Language : English
- PDF File Size : 18,7 Mb
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