Learning for Decision and Control in Stochastic Networks (Synthesis Lectures on Learning, Networks, and Algorithms)

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.

• | Author: Longbo Huang
• | Publisher: Springer
• | Publication Date: Jun 20, 2023
• | Number of Pages: 82 pages
• | Language: English
• | Binding: Hardcover
• | ISBN-10: 3031315960
• | ISBN-13: 9783031315961