Download the fantastic book titled Decision Making Under Uncertainty and Reinforcement Learning written by Christos Dimitrakakis, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "Decision Making Under Uncertainty and Reinforcement Learning", which was released on 02 December 2022. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Technology & Engineering genre.
Summary of Decision Making Under Uncertainty and Reinforcement Learning by Christos Dimitrakakis PDF
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.
Detail About Decision Making Under Uncertainty and Reinforcement Learning PDF
- Author : Christos Dimitrakakis
- Publisher : Springer Nature
- Genre : Technology & Engineering
- Total Pages : 251 pages
- ISBN : 3031076141
- Release Date : 02 December 2022
- PDF File Size : 34,6 Mb
- Language : English
- Rating : 4/5 from 21 reviews
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