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Deep Reinforcement Learning Fundamentals by Hao Dong (13 results)
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Deep Reinforcement Learning : Fundamentals, Research and Applications
Published by Springer Nature Singapore, 2020
ISBN 10: 9811540942 ISBN 13: 9789811540943
Language: English
US$ 154.32
Convert currencyUS$ 52.61 shipping from Germany to U.S.A.Quantity: 1 available
Add to basketCondition: Sehr gut. Zustand: Sehr gut | Seiten: 544 | Sprache: Englisch | Produktart: Bücher.
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Condition: New.
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Condition: New. 1st ed. 2020 edition NO-PA16APR2015-KAP.
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Deep Reinforcement Learning : Fundamentals, Research and Applications
Published by Springer Nature Singapore, Springer Nature Singapore, 2021
ISBN 10: 9811540977 ISBN 13: 9789811540974
Language: English
US$ 236.34
Convert currencyUS$ 75.58 shipping from Germany to U.S.A.Quantity: 1 available
Add to basketTaschenbuch. 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.
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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
Language: English
US$ 241.71
Convert currencyUS$ 76.42 shipping from Germany to U.S.A.Quantity: 1 available
Add to basketBuch. 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.
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US$ 310.17
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Add to basketHardcover. Condition: New. New. book.
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US$ 377.17
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Add to basketHardcover. Condition: Brand New. 514 pages. 9.25x6.10x1.10 inches. In Stock.
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Deep Reinforcement Learning: Fundamentals. Research and Application (produced by the blog post)(Chinese Edition)
Published by Electronic Industry Press, 2021
ISBN 10: 7121411881 ISBN 13: 9787121411885
Language: Chinese
US$ 160.25
Convert currencyUS$ 18.00 shipping from China to U.S.A.Quantity: 3 available
Add to basketpaperback. Condition: New. Paperback. Pub Date: 2021-06-01 Pages: 520 Language: Chinese Publisher: Electronic Industry Press Deep reinforcement learning combines the advantages of deep learning and reinforcement learning algorithms to solve complex decision-making tasks.?Thanks to the successful cases of DeepMind AlphaGo and OpenAI Five. deep reinforcement learning has received a lot of attention. and related technologies are widely used in different fields.?The book is divided into three parts. covering the entire con.
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US$ 195.69
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Add to basketCondition: 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.
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US$ 276.18
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US$ 280.04
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US$ 299.18
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Add to basketCondition: New. PRINT ON DEMAND.
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US$ 307.00
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Add to basketCondition: New. PRINT ON DEMAND.
