MARC details
| 000 -LEADER |
|---|
| fixed length control field |
01946nmm a2200229Ia 4500 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
220920s9999||||xx |||||||||||||| ||und|| |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9783030609900 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Classification number |
629.836 |
| Item number |
V259H |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Vamvoudakis, G. K. |
| Relator term |
Author |
| Language of a work |
English |
| 9 (RLIN) |
2589 |
| 245 #0 - TITLE STATEMENT |
|---|
| Title |
Handbook of Reinforcement Learning and Control |
| Statement of responsibility, etc. |
/ edited by G. K. Vamvoudakis and others. |
| Medium |
[Electronic Resource] |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. |
|---|
| Place of publication, distribution, etc. |
Cham |
| Name of publisher, distributor, etc. |
: Springer International Publishing, |
| Date of publication, distribution, etc. |
2021 |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
839p. |
| 440 ## - SERIES STATEMENT/ADDED ENTRY--TITLE |
|---|
| Title |
Studies in Systems, Decision and Control Series |
| Volume/sequential designation |
Vol. 325 |
| 9 (RLIN) |
2590 |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc. |
This handbook presents state-of-the-art research in reinforcement learning, focusing on its applications in the control and game theory of dynamic systems and future directions for related research and technology. The contributions gathered in this book deal with challenges faced when using learning and adaptation methods to solve academic and industrial problems, such as optimization in dynamic environments with single and multiple agents, convergence and performance analysis, and online implementation. They explore means by which these difficulties can be solved, and cover a wide range of related topics including: deep learning; artificial intelligence; applications of game theory; mixed modality learning; and multi-agent reinforcement learning. Practicing engineers and scholars in the field of machine learning, game theory, and autonomous control will find the Handbook of Reinforcement Learning and Control to be thought-provoking, instructive and informative. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Automatic Control-Sensitivity |
| 9 (RLIN) |
2591 |
|
|---|
| Topical term or geographic name entry element |
Reinforcement Learning |
| 9 (RLIN) |
15983 |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Cansever, D. |
| Relationship information |
[Editor] |
| 9 (RLIN) |
2592 |
|
|---|
| Personal name |
Lewis, F. |
| Relationship information |
[Author] |
| 9 (RLIN) |
2593 |
|
|---|
| Personal name |
Wan, Y. |
| Relationship information |
[Author] |
| 9 (RLIN) |
2155 |
| 856 ## - ELECTRONIC LOCATION AND ACCESS |
|---|
| Uniform Resource Identifier |
<a href="https://ebookcentral.proquest.com/lib/iitjin/detail.action?docID=6676404&query=Handbook+of+Reinforcement+Learning+and+Control">https://ebookcentral.proquest.com/lib/iitjin/detail.action?docID=6676404&query=Handbook+of+Reinforcement+Learning+and+Control</a> |
| Electronic format type |
PDF |
| Link text |
Click to Access the Online Book |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Koha item type |
e-Book |
| Suppress in OPAC |
|
