Decision Making Under Uncertainty and Reinforcement Learning

Decision Making Under Uncertainty and Reinforcement Learning
Author :
Publisher : Springer Nature
Total Pages : 251
Release :
ISBN-10 : 9783031076145
ISBN-13 : 3031076141
Rating : 4/5 (45 Downloads)

Book Synopsis Decision Making Under Uncertainty and Reinforcement Learning by : Christos Dimitrakakis

Download or read book Decision Making Under Uncertainty and Reinforcement Learning written by Christos Dimitrakakis and published by Springer Nature. This book was released on 2022-12-02 with total page 251 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.


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