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Reinforcement Learning Algorithms: Analysis and Applications

Language EnglishEnglish
Book Hardback
Book Reinforcement Learning Algorithms: Analysis and Applications Boris Belousov
Libristo code: 25609947
Publishers Springer Nature Switzerland AG, November 2020
This book reviews research developments in diverse areas of reinforcement learning such as model-fre... Full description
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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.

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About the book

Full name Reinforcement Learning Algorithms: Analysis and Applications
Language English
Binding Book - Hardback
Date of issue 2021
Number of pages 206
EAN 9783030411879
Libristo code 25609947
Weight 494
Dimensions 161 x 23 x 17
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