£107.85

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£108 today · previous high £108 · all-time low £97

Springer Reinforcement Learning Algorithms: Analysis and Applications: 883 (Studies in Computational Intelligence, 883)

Amazon

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£107.85 £95.63 £98.30 £100.96 £103.63 £106.29 £108.96 28 July 2026 17 August 2026 07 September 2026 27 September 2026 18 October 2026
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Description

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.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
03 January 2021
Listed Since
21 January 2020

Barcode

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