Deep Reinforcement Learning

Deep Reinforcement Learning

EnglishPaperback / softbackPrint on demand
Sewak, Mohit
Springer Verlag, Singapore
EAN: 9789811382871
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Detailed information

This book starts by presenting the basics of reinforcement learning using highly intuitive and easy-to-understand examples and applications, and then introduces the cutting-edge research advances that make reinforcement learning capable of out-performing most state-of-art systems, and even humans in a number of applications. The book not only equips readers with an understanding of multiple advanced and innovative algorithms, but also prepares them to implement systems such as those created by Google Deep Mind in actual code.

This book is intended for readers who want to both understand and apply advanced concepts in a field that combines the best of two worlds – deep learning and reinforcement learning – to tap the potential of ‘advanced artificial intelligence’ for creating real-world applications and game-winning algorithms.


EAN 9789811382871
ISBN 9811382875
Binding Paperback / softback
Publisher Springer Verlag, Singapore
Publication date August 15, 2020
Pages 203
Language English
Dimensions 235 x 155
Country Singapore
Readership Professional & Scholarly
Authors Sewak, Mohit
Illustrations 98 Illustrations, color; 8 Illustrations, black and white; XVII, 203 p. 106 illus., 98 illus. in color.
Edition 2019 ed.
Manufacturer information
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