You might also like

More about Markov Decision Processes in Artificial Intelligence

• Book details
• Synopsis
• Trending among others

You get 494 loyalty points

Book synopsis

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.

Book details

Book category Books in English Computing & information technology Computer science Artificial intelligence

• Full title: Markov Decision Processes in Artificial Intelligence
• Author: Olivier Sigaud
• Language: English
• Binding: Hardback
• Number of pages: 477
• EAN: 9781848211674
• ISBN: 1848211678
• ID: 01434020
• Publisher: ISTE Ltd and John Wiley & Sons Inc
• Weight: 824 g
• Dimensions: 235 × 161 × 33 mm
• Date of publishing: 09. February 2010

Trending among others

---

---

---