Reinforcement Learning Algorithms: Analysis and Applications

Name: Reinforcement Learning Algorithms: Analysis and Applications
Brand: Springer Nature Switzerland AG
SKU: 9783030411909
Price: 149.91 EUR
Availability: InStock

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

Jazyk:

Väzba: Brožovaná

Vydavateľ: Springer Nature Switzerland AG

Dostupnosť: Skladom u dodávateľa

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149.91 €

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

Informácie o knihe

Autor

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

Jazyk

Angličtina

Väzba

Kniha - Brožovaná

Vydalo

2022

Stránok

206

EAN

9783030411909

Enbook ID

38503087

Vydavateľ

Springer Nature Switzerland AG

Hmotnosť

338

Rozmery

155 x 235 x 12

Kompletný popis

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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