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Книга Reinforcement Learning Algorithms: Analysis and Applications Boris Belousov

Reinforcement Learning Algorithms: Analysis and Applications

Автор: Boris Belousov, Simone Parisi, Hany Abdulsamad, Jan Peters
Език: Английски език
Корици: С твърди корици
Издател: Springer Nature Switzerland AG
Наличност: Външен склад
Изпращаме след 10-13 дни
158.03 € 309.07 лв
This book reviews research developments in diverse areas of reinforcement learning such as model-fre...

Информация за книгата

Автор
Boris Belousov, Simone Parisi, Hany Abdulsamad, Jan Peters
Език
Английски език
Корици
Книга - С твърди корици
Издадена
2021
страници
206
EAN
9783030411879
Enbook ID
25609947
Издател
Springer Nature Switzerland AG
Теглоt
494
Размери
161 x 23 x 17

Пълно описание

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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