Reinforcement Learning Algorithms: Analysis and Applications

Name: Reinforcement Learning Algorithms: Analysis and Applications
Brand: Springer Nature Switzerland AG
SKU: 9783030411879
Price: 3426 CZK
Availability: InStock

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

Jazyk:

Vazba: Pevná

Vydavatel: Springer Nature Switzerland AG

Dostupnost: Skladem u dodavatele

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3 426 Kč

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

Informace o knize

Autor

Boris Belousov, Simone Parisi, Hany Abdulsamad, Jan Peters

Jazyk

Angličtina

Vazba

Kniha - Pevná

Vydáno

2021

Stránek

206

EAN

9783030411879

Enbook ID

25609947

Vydavatel

Springer Nature Switzerland AG

Hmotnost

494

Rozměry

161 x 23 x 17

Kompletní 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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Reinforcement Learning Algorithms: Analysis and Applications

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