Reinforcement Learning Algorithms: Analysis and Applications

Name: Reinforcement Learning Algorithms: Analysis and Applications
Brand: Springer Nature Switzerland AG
SKU: 9783030411909
Price: 157.54 EUR
Availability: InStock

Автор: Boris Belousov, Hany Abdulsamad, Pascal Klink, Simone Parisi, Jan Peters

Език:

Корици: С меки корици

Издател: Springer Nature Switzerland AG

Наличност: Външен склад

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157.54 € 308.11 лв

This book reviews research developments in diverse areas of reinforcement learning such as model-fre...

Информация за книгата

Автор

Boris Belousov, Hany Abdulsamad, Pascal Klink, Simone Parisi, Jan Peters

Език

Английски език

Корици

Книга - С меки корици

Издадена

2022

страници

206

EAN

9783030411909

Enbook ID

38503087

Издател

Springer Nature Switzerland AG

Теглоt

338

Размери

155 x 235 x 12

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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