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Reinforcement Learning Algorithms: Analysis and Applications (Studies in Computational Intelligence) - Softcover
Synopsis
This book reviews research developments in diverse areas of reinforcement learning such as model-free actor-critic methods, model-based learning and control, information geometry of policy searches, reward design, and exploration in biology and the behavioral sciences. Special emphasis is placed on advanced ideas, algorithms, methods, and applications.
The contributed papers gathered here grew out of a lecture course on reinforcement learning held by Prof. Jan Peters in the winter...
About the Author
Boris Belousov is a Ph.D. student at Technische Universität Darmstadt, Germany, advised by Prof. Jan Peters. He received his M.Sc. degree from the University of Erlangen-Nuremberg, Germany, in 2016, supported by a DAAD scholarship for academic excellence. Boris is now working toward combining optimal control and information theory with applications to robotics and reinforcement learning.
Hany Abdulsamad is a Ph.D. student at the TU Darmstadt, Germany....
From the Back Cover
This book reviews research developments in diverse areas of reinforcement learning such as model-free actor-critic methods, model-based learning and control, information geometry of policy searches, reward design, and exploration in biology and the behavioral sciences. Special emphasis is placed on advanced ideas, algorithms, methods, and applications.
The contributed papers gathered here grew out of a lecture course on reinforcement learning held by Prof. Jan Peters...
"About this title" may belong to another edition of this title.
- PublisherSpringer
- Publication date2022
- ISBN 10 3030411907
- ISBN 13 9783030411909
- BindingPaperback
- LanguageEnglish
- Edition number1
- Number of pages216
- EditorBelousov Boris, Abdulsamad Hany, Klink Pascal, Parisi Simone, Peters Jan
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Reinforcement Learning Algorithms: Analysis and Applications
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Springer International Publishing, Springer Nature Switzerland Jan 2022, 2022
ISBN 10: 3030411907
ISBN 13: 9783030411909
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book reviews research developments in diverse areas of reinforcement learning such as model-free actor-critic methods, model-based learning and control, information geometry of policy searches, reward design, and exploration in biology and the behavioral sciences. Special emphasis is placed on advanced ideas, algorithms, methods, and applications. The contributed papers gathered here grew out of a lecture course on reinforcement learning held by Prof. Jan Peters in the winter semester 2018/2019 at Technische Universität Darmstadt. The book is intended for reinforcement learning students and researchers with a firm grasp of linear algebra, statistics, and optimization. Nevertheless, all key concepts are introduced in each chapter, making the content self-contained and accessible to a broader audience. 216 pp. Englisch. Seller Inventory # 9783030411909
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Reinforcement Learning Algorithms: Analysis and Applications
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ISBN 10: 3030411907
ISBN 13: 9783030411909
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