Zhang Ding Hao (123 results)

Soft cover. Condition: Very Good. 1st Edition. Text is chiefly in Chinese, with English in photo captions. Volume has small top-corner crease throughout; tight, text clean. 173 p., well illustrated. Includes: masterpieces of painting and calligraphy -- auction highlights -- collection world of Xu Zongwei -- and more. Oversize [b 830].

Condition: acceptable. Supports Goodwill of Silicon Valley job training programs. The cover and pages are in Acceptable condition! Any other included accessories are also in Acceptable condition showing use. Use can include some highlighting and writing, page and cover creases as well as other types visible wear such as cover tears discoloration, staining, marks, scuffs, etc. All pages intact.

Condition: Good. Item in good condition. Textbooks may not include supplemental items i.e. CDs, access codes etc.

Soft cover. Condition: New. Language:Chinese.Author:YU BIN HAO ZHANG DING ZHAO YU YANG KUI DENG.Binding:SoftCover.Publisher:Zhejiang People's Fine Arts Publishing House.

Soft cover. Condition: New. Language:Chinese.Author:HAO RAN ZHU ZHANG DE YU ZHANG RU WEI DING FU NIAN CHA TU.Binding:.Publisher:Foreign Languages ??Press.

paperback. Condition: New. Paperback.Pub Date:2022-07-01 Pages:262 Language:Chinese Publisher:Shaanxi Normal University Press High School Geography (Compulsory Volume 1 RJ) / Trainee creates a real situation. allowing students to face challenges and start unit learning. To help students understand the new knowledge. The challenge tasks are subdivided to help students understand the knowledge preparation required to complete the challenge. highlighting the application of what they have learned. Stimulate students' inter.

paperback. Condition: New. Language:Chinese.Pages Number: 330 Publisher: Zhejiang Arts Pub. Date :2003-02-01 No. 1 edition 2003-02-01.

paperback. Condition: New. Language:Chinese.Paperback. Pub Date :2012-12-1 Pages: 259 Publisher: Lijiang Publishing House Pride and Prejudice is one of the world 's most popular classics . Famous British writer Somerset Maugham its inclusion in the Top Ten novels of the world . Mr. Squire Bennett family's second daughter. Elizabeth looks normal . but it is quite clever . the notice of management . but a little cynical. The wealthy son of Darcy's first impression is arrogant. unkind . and sectarianism behaved really obs.

Hardcover. Condition: Good. HardCover. Pub Date :1996-12 Pages: 351 Publisher: Hunan Art Publishing sheets: 11.25.

Condition: New.

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

Condition: New. In.

Paperback. Condition: new. Paperback. 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. Deep reinforcement learning (DRL) is the combination of reinforcement learning (RL) and deep learning. The first part introduces the foundations of deep learning, reinforcement learning (RL) and widely used deep RL methods and discusses their implementation. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Soft cover. Condition: New. Language:Chinese.Author:(YING)ZHA AO DING SA DE ER (YING)BO LIN FAN LONG ZHANG HAO YI.Binding:Soft cover.Publisher:Anhui Literature and Art Publishing House Pub. Dat.

paperback. Condition: New. Ship out in 2 business day, And Fast shipping, Free Tracking number will be provided after the shipment.Paperback. Pub Date :2005-05-01 Pages: 350 Language: Chinese Publisher: China Books Publishing Information Title: Emma Price: 12 yuan Author : ( English ) Austin with. a purpose to interpret Publisher: China Books Publishing Date :2005-5-1ISBN: 9787506813440 words: 343.000 yards : 350 Edition : 1 Binding: Paperback : Weight: Editor's Choice Emma Jane Austen is the best . most mature . most on behalf of its style novels . Jane Austen is one of the very few well-known female writers in the worl.Four Satisfaction guaranteed,or money back.

Paperback. Condition: Brand New. 541 pages. 9.25x6.10x9.05 inches. In Stock.

Condition: New. pp. 360.

Condition: New.

Hardcover. Condition: Good. Ship out in 2 business day, And Fast shipping, Free Tracking number will be provided after the shipment.Pride and Prejudice - foreign literary classics boutique hardcover version of an Indian print volume 300Four Satisfaction guaranteed,or money back.

Hardcover. Condition: New. HardCover.Pub Date:2022-12 Pages:402 Language:Publisher:Shanghai Jiaotong University PressThe management model and implementation approach of the civil aircraft airworthiness certification process is an important part of the model development of civil aircraft manufacturers. and is directly related to the strategic development and survival of civil aircraft manufacturers. Civil Aircraft Manufacturer Airworthiness Information System describes the civil aircraft model development process and ru.

paperback. Condition: Good. Paperback. Pub Date :1987-06 Pages: 310 Publisher: Language Press ------- Tips: integrity textbook ---- Order rational ===== ----------- - pro! Order to remember that within 15 days after remittance delivery Oh do not let me wait until the flowers have wilted Oh pro! Have a problem. please call: 13691453329 Oh! (* ^ __ ^ *) -.

Paperback. Condition: new. Paperback. 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. Deep reinforcement learning (DRL) is the combination of reinforcement learning (RL) and deep learning. The first part introduces the foundations of deep learning, reinforcement learning (RL) and widely used deep RL methods and discusses their implementation. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Condition: New. 1st ed. 2020 edition NO-PA16APR2015-KAP.

Condition: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher.

Taschenbuch. Condition: Neu. Deep Reinforcement Learning | Fundamentals, Research and Applications | Hao Dong (u. a.) | Taschenbuch | xxvii | Englisch | 2021 | Springer Singapore | EAN 9789811540974 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Taschenbuch. Condition: Neu. 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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 544 pp. Englisch.

Buch. Condition: Neu. 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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 544 pp. Englisch.

Condition: New.

Taschenbuch. 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.

Hardcover. Condition: Brand New. 514 pages. 9.25x6.10x1.10 inches. In Stock.