Learning for Decision and Control in Stochastic Networks
Format:Paperback
Publisher:Springer International Publishing AG
Published:21st Jun '24
Should be back in stock very soon
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.
ISBN: 9783031315992
Dimensions: unknown
Weight: unknown
71 pages
2023 ed.