Learning for Decision and Control in Stochastic Networks
Produktnummer:
18b201c300eafb4d10ad6b6d48f7ed2b10
| Autor: | Huang, Longbo |
|---|---|
| Themengebiete: | Convex Optimization Drift Method Learning Mean-Field Network Optimization Online Learning Reinforcement Learning |
| Veröffentlichungsdatum: | 20.06.2023 |
| EAN: | 9783031315961 |
| Sprache: | Englisch |
| Seitenzahl: | 71 |
| Produktart: | Gebunden |
| Verlag: | Springer International Publishing |
Produktinformationen "Learning for Decision and Control in Stochastic Networks"
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.
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