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- PublisherSpringer
- Publication date2020
- ISBN 10 9811540942
- ISBN 13 9789811540943
- BindingHardcover
- LanguageEnglish
- Edition number1
- Number of pages541
- EditorDong Hao, Ding Zihan, Zhang Shanghang
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Deep Reinforcement Learning : Fundamentals, Research and Applications
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Springer Nature Singapore, 2020
ISBN 10: 9811540942
ISBN 13: 9789811540943
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Deep Reinforcement Learning: Fundamentals, Research and Applications
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Offers a comprehensive and self-contained introduction to deep reinforcement learningCovers deep reinforcement learning from scratch to advanced research topicsProvides rich example codes (free access through Github) to help readers to prac. Seller Inventory # 353803001
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Deep Reinforcement Learning: Fundamentals, Research and Applications
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Deep Reinforcement Learning
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Springer Nature Singapore, Springer Nature Singapore Jun 2020, 2020
ISBN 10: 9811540942
ISBN 13: 9789811540943
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Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 detailedexplanations.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. 544 pp. Englisch. Seller Inventory # 9789811540943
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Deep Reinforcement Learning : Fundamentals, Research and Applications
Published by
Springer Nature Singapore, Springer Nature Singapore, 2020
ISBN 10: 9811540942
ISBN 13: 9789811540943
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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 detailedexplanations.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. Seller Inventory # 9789811540943
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Deep Reinforcement Learning: Fundamentals, Research and Applications
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