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Könyv Reinforcement Learning Algorithms: Analysis and Applications Boris Belousov

Reinforcement Learning Algorithms: Analysis and Applications

Szerző: Boris Belousov, Hany Abdulsamad, Pascal Klink, Simone Parisi, Jan Peters
Nyelv: Angol
Kötés: Puha kötésű
Kiadó: Springer Nature Switzerland AG
Elérhetőség: Beszállítói készleten
Küldés 5-8 napon belül
57 479 Ft
This book reviews research developments in diverse areas of reinforcement learning such as model-fre...

Információk a könyvről

Szerző
Boris Belousov, Hany Abdulsamad, Pascal Klink, Simone Parisi, Jan Peters
Nyelv
Angol
Kötés
Könyv - Puha kötésű
Kiadva
2022
oldal
206
EAN
9783030411909
Enbook ID
38503087
Kiadó
Springer Nature Switzerland AG
Súly
338
Méretek
155 x 235 x 12

Teljes leírás

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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