Learning for Decision and Control in Stochastic Networks
Author | : Longbo Huang |
Publisher | : Springer Nature |
Total Pages | : 80 |
Release | : 2023-07-21 |
ISBN-10 | : 9783031315978 |
ISBN-13 | : 3031315979 |
Rating | : 4/5 (979 Downloads) |
Download or read book Learning for Decision and Control in Stochastic Networks written by Longbo Huang and published by Springer Nature. This book was released on 2023-07-21 with total page 80 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.