MARC details
| 000 -LEADER |
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| fixed length control field |
04096clm a2200457 i 4500 |
| 001 - CONTROL NUMBER |
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| control field |
978-981-15-4095-0 |
| 003 - CONTROL NUMBER IDENTIFIER |
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| control field |
DE-He213 |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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| control field |
20250214154113.0 |
| 006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS--GENERAL INFORMATION |
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| fixed length control field |
m o d |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION |
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| fixed length control field |
cr nn 008maaau |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
200629s2020 si s 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
9789811540950 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
9789811540943 |
| 024 7# - OTHER STANDARD IDENTIFIER |
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| Standard number or code |
10.1007/978-981-15-4095-0 |
| Source of number or code |
doi |
| 040 ## - CATALOGING SOURCE |
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| Original cataloging agency |
GP |
| Transcribing agency |
GP |
| Description conventions |
rda |
| 042 ## - AUTHENTICATION CODE |
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| Authentication code |
nbic |
| 245 00 - TITLE STATEMENT |
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| Title |
Deep reinforcement learning |
| Medium |
[electronic resource] : |
| Remainder of title |
fundamentals, research and applications / |
| Statement of responsibility, etc |
edited by Hao Dong, Zihan Ding, Shanghang Zhang. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
|---|
| Place of publication, distribution, etc |
Singapore : |
| Name of publisher, distributor, etc |
Springer Singapore : |
| Date of publication, distribution, etc |
c2020. |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
1 online resource (xxvii, 526 pages) : |
| Other physical details |
illustrations, digital ; |
| Dimensions |
24 cm. |
| 336 ## - CONTENT TYPE |
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| Content Type Term |
text |
| Content Type Code |
txt |
| Source |
rdacontent. |
| 337 ## - MEDIA TYPE |
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| Media Type Term |
computer |
| Media Type Code |
c |
| Source |
rdamedia. |
| 338 ## - CARRIER TYPE |
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| Carrier Type Term |
online resource |
| Carrier Type Code |
cr |
| Source |
rdacarrier. |
| 500 ## - GENERAL NOTE |
|---|
| General note |
2020年臺灣學術電子書暨資料庫聯盟共購共享專案(2020版權年SpringerLink西文電子書資料庫) |
| 505 0# - FORMATTED CONTENTS NOTE |
|---|
| Formatted contents note |
Preface -- Contributors -- Acknowledgements -- Mathematical Notation -- Acronyms -- Introduction -- Part 1: Foundamentals -- Chapter 1: Introduction to Deep Learning -- Chapter 2: Introduction to Reinforcement Learning -- Chapter 3: Taxonomy of Reinforcement Learning Algorithms -- Chapter 4: Deep Q-Networks -- Chapter 5: Policy Gradient -- Chapter 6: Combine Deep Q-Networks with Actor-Critic -- Part II: Research -- Chapter 7: Challenges of Reinforcement Learning -- Chapter 8: Imitation Learning -- Chapter 9: Integrating Learning and Planning -- Chapter 10: Hierarchical Reinforcement Learning -- Chapter 11: Multi-Agent Reinforcement Learning -- Chapter 12: Parallel Computing -- Part III: Applications -- Chapter 13: Learning to Run -- Chapter 14: Robust Image Enhancement -- Chapter 15: AlphaZero -- Chapter 16: Robot Learning in Simulation -- Chapter 17: Arena Platform for Multi-Agent Reinforcement Learning -- Chapter 18: Tricks of Implementation -- Part IV: Summary -- Chapter 19: Algorithm Table -- Chapter 20: Algorithm Cheatsheet. |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc |
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. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Reinforcement learning. |
| 650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Machine Learning. |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Data Mining and Knowledge Discovery. |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Image Processing and Computer Vision. |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Robotics. |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Programming Techniques. |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Natural Language Processing (NLP) |
| 655 ## - INDEX TERM--GENRE/FORM |
|---|
| Genre/form data or focus term |
Electronic books |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Dong, Hao, |
| Relator term |
editor. |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Ding, Zihan, |
| Relator term |
editor. |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Zhang, Shanghang, |
| Relator term |
editor. |
| 710 2# - ADDED ENTRY--CORPORATE NAME |
|---|
| Corporate name or jurisdiction name as entry element |
SpringerLink (Online service) |
| 773 0# - HOST ITEM ENTRY |
|---|
| Title |
Springer Nature eBook. |
| 856 ## - ELECTRONIC LOCATION AND ACCESS |
|---|
| Uniform Resource Identifier |
<a href="https://drive.google.com/file/d/1J_UsiiQc9fodcxQYW854giKgYfIW0vwb/view?usp=sharing">https://drive.google.com/file/d/1J_UsiiQc9fodcxQYW854giKgYfIW0vwb/view?usp=sharing</a> |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
Library of Congress Classification |
| Item type |
eBooks |
