Decision Making Under Uncertainty and Reinforcement Learning : Theory and Algorithms
Language: English
Published by Springer, 2023
- Softcover
- Used
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- Title
- Decision Making Under Uncertainty and Reinforcement Learning : Theory and Algorithms
- Author
- Dimitrakakis, Christos; Ortner, Ronald
- Publisher
- Springer
- Publication year
- 2023
- Condition
- As New
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 3031108922
- ISBN 13
- 9783031108921
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.
"Synopsis" may belong to another edition of this title.
From the Back Cover
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.
"About the title" may belong to another edition of this title.
GreatBookPrices
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