This book presents recent research in decision making under uncertainty, in particular reinforcement learning and learning with expert advice. The core elements of decision theory, Markov decision processes and reinforcement learning have not been previously collected in a concise volume. Our aim with this book was to provide a solid theoretical foundation with elementary proofs of the most important theorems in the field, all collected in one place, and not typically found in introductory textbooks.
This book is addressed to graduate students that are interested in statistical decision making under uncertainty and the foundations of reinforcement learning.
| ISBN: | 9783031076121 |
| Publication date: | 3rd December 2022 |
| Author: | Christos Dimitrakakis, Ronald Ortner |
| Publisher: | Springer International Publishing AG |
| Format: | Hardback |
| Pagination: | 243 pages |
| Series: | Intelligent Systems Reference Library |
| Genres: |
Artificial intelligence |
This book presents recent research in decision making under uncertainty, in particular reinforcement learning and learning with expert advice. The core elements of decision theory, Markov decision processes and reinforcement learning have not been previously collected in a concise volume.
Decision Making Under Uncertainty and Reinforcement Learning features in the following genres: Artificial intelligence
Hardback. £125.99, down from the £139.99 cover price. Not Available.
Decision Making Under Uncertainty and Reinforcement Learning was written by Christos Dimitrakakis, Ronald Ortner and published by Springer International Publishing AG
Decision Making Under Uncertainty and Reinforcement Learning has 243 pages
Yes it is part of Intelligent Systems Reference Library series
£125.99, reduced from £139.99. Not Available.