Reinforcement Learning Algorithms: Analysis and Applications

Boris Belousov

ISBN 10: 3030411877 / ISBN 13: 9783030411879

Published by Springer International Publishing, Springer Nature Switzerland Jan 2021, 2021

About this Item

This item is printed on demand - it takes 3-4 days longer - Neuware -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. 216 pp. Englisch.

Seller Inventory # 9783030411879

Bibliographic Details

• Title: Reinforcement Learning Algorithms: Analysis and Applications
• Publisher: Springer International Publishing, Springer Nature Switzerland Jan 2021
• Publication Date: 2021
• Language: English
• ISBN 10: 3030411877
• ISBN 13: 9783030411879
• Binding: Buch
• Condition: Neu

About this title

Synopsis

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...

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