Electronic Resource

Reinforcement Learning Algorithms: Analysis and Applications

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Penilaian

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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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Availability

Inventory Code	Barcode	Call Number	Location	Status
1908001650	EB0002256	006.3 Rei	Central Library (OPAC)	Available

Detail Information

Series Title

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Call Number

006.3 Rei

Publisher

Switzerland : Springer Cham., 2021

Collation

VIII, 206p.:Ill

Language

English

ISBN/ISSN

978-3-030-41188-6

Classification

006.3

Content Type

Ebook

Media Type

-

Carrier Type

online resource

Edition

1

Subject(s)

Computational Intelligence

Specific Detail Info

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Statement of Responsibility

BRF

Other version/related

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