Learning for Decision and Control in Stochastic Networks

Learning for Decision and Control in Stochastic Networks
Author :
Publisher : Springer Nature
Total Pages : 80
Release :
ISBN-10 : 9783031315978
ISBN-13 : 3031315979
Rating : 4/5 (979 Downloads)

Book Synopsis Learning for Decision and Control in Stochastic Networks by : Longbo Huang

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 2023-06-19 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.


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