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Reinforcement Learning Algorithms: Analysis and Applications

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Reinforcement Learning Algorithms: Analysis and Applications - Belousov, Boris (Editor), and Abdulsamad, Hany (Editor), and Klink, Pascal (Editor)
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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 ...

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Reinforcement Learning Algorithms: Analysis and Applications 2022, Springer Nature Switzerland AG, Cham

ISBN-13: 9783030411909

Paperback

Reinforcement Learning Algorithms: Analysis and Applications 2021, Springer, Cham

ISBN-13: 9783030411879

2021 edition

Hardcover