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.
發表於2024-11-08
Markov Decision Processes in Artificial Intelligence 2024 pdf epub mobi 電子書 下載
圖書標籤: 運籌學 數學 教材 動態規劃 優化
Markov Decision Processes in Artificial Intelligence 2024 pdf epub mobi 電子書 下載