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Books > Computing & IT > Applications of computing > Artificial intelligence > Natural language & machine translation

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Deep Reinforcement Learning - Fundamentals, Research and Applications (Paperback, 1st ed. 2020) Loot Price: R4,344
Discovery Miles 43 440
Deep Reinforcement Learning - Fundamentals, Research and Applications (Paperback, 1st ed. 2020): Hao Dong, Zihan Ding,...

Deep Reinforcement Learning - Fundamentals, Research and Applications (Paperback, 1st ed. 2020)

Hao Dong, Zihan Ding, Shanghang Zhang

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Loot Price R4,344 Discovery Miles 43 440 | Repayment Terms: R407 pm x 12*

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Deep reinforcement learning (DRL) is the combination of reinforcement learning (RL) and deep learning. It has been able to solve a wide range of complex decision-making tasks that were previously out of reach for a machine, and famously contributed to the success of AlphaGo. Furthermore, it opens up numerous new applications in domains such as healthcare, robotics, smart grids and finance. Divided into three main parts, this book provides a comprehensive and self-contained introduction to DRL. The first part introduces the foundations of deep learning, reinforcement learning (RL) and widely used deep RL methods and discusses their implementation. The second part covers selected DRL research topics, which are useful for those wanting to specialize in DRL research. To help readers gain a deep understanding of DRL and quickly apply the techniques in practice, the third part presents mass applications, such as the intelligent transportation system and learning to run, with detailed explanations. The book is intended for computer science students, both undergraduate and postgraduate, who would like to learn DRL from scratch, practice its implementation, and explore the research topics. It also appeals to engineers and practitioners who do not have strong machine learning background, but want to quickly understand how DRL works and use the techniques in their applications.

General

Imprint: Springer Verlag, Singapore
Country of origin: Singapore
Release date: June 2021
First published: 2020
Editors: Hao Dong • Zihan Ding • Shanghang Zhang
Dimensions: 235 x 155mm (L x W)
Format: Paperback
Pages: 514
Edition: 1st ed. 2020
ISBN-13: 978-981-15-4097-4
Categories: Books > Computing & IT > Computer programming > General
Books > Computing & IT > Applications of computing > Databases > Data mining
Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning
Books > Computing & IT > Applications of computing > Artificial intelligence > Natural language & machine translation
Books > Computing & IT > Applications of computing > Image processing > General
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LSN: 981-15-4097-7
Barcode: 9789811540974

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