Learning for Decision and Control in Stochastic Networks (Record no. 85720)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 03138nam a22006015i 4500 |
| 001 - CONTROL NUMBER | |
| control field | 978-3-031-31597-8 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20240730164505.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 230619s2023 sz | s |||| 0|eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9783031315978 |
| -- | 978-3-031-31597-8 |
| 082 04 - CLASSIFICATION NUMBER | |
| Call Number | 621.3821 |
| 082 04 - CLASSIFICATION NUMBER | |
| Call Number | 004.6 |
| 100 1# - AUTHOR NAME | |
| Author | Huang, Longbo. |
| 245 10 - TITLE STATEMENT | |
| Title | Learning for Decision and Control in Stochastic Networks |
| 250 ## - EDITION STATEMENT | |
| Edition statement | 1st ed. 2023. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | XI, 71 p. 8 illus., 7 illus. in color. |
| 490 1# - SERIES STATEMENT | |
| Series statement | Synthesis Lectures on Learning, Networks, and Algorithms, |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Remark 2 | Introduction -- The Stochastic Network Model -- Network Optimization Techniques -- Learning Network Decisions -- Summary and Discussions. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | This book introduces the Learning-Augmented Network Optimization (LANO) paradigm, which interconnects network optimization with the emerging AI theory and algorithms and has been receiving a growing attention in network research. The authors present the topic based on a general stochastic network optimization model, and review several important theoretical tools that are widely adopted in network research, including convex optimization, the drift method, and mean-field analysis. The book then covers several popular learning-based methods, i.e., learning-augmented drift, multi-armed bandit and reinforcement learning, along with applications in networks where the techniques have been successfully applied. The authors also provide a discussion on potential future directions and challenges. |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | https://doi.org/10.1007/978-3-031-31597-8 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | eBooks |
| 264 #1 - | |
| -- | Cham : |
| -- | Springer International Publishing : |
| -- | Imprint: Springer, |
| -- | 2023. |
| 336 ## - | |
| -- | text |
| -- | txt |
| -- | rdacontent |
| 337 ## - | |
| -- | computer |
| -- | c |
| -- | rdamedia |
| 338 ## - | |
| -- | online resource |
| -- | cr |
| -- | rdacarrier |
| 347 ## - | |
| -- | text file |
| -- | |
| -- | rda |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Computer Networks. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Stochastic processes. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Machine learning. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Application software. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Computer science. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Mathematical optimization. |
| 650 14 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Computer Networks. |
| 650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Stochastic Networks. |
| 650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Machine Learning. |
| 650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Computer and Information Systems Applications. |
| 650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Computer Science. |
| 650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Optimization. |
| 830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
| -- | 2690-4314 |
| 912 ## - | |
| -- | ZDB-2-SXSC |
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