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

Amazon

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Description

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.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
20 June 2023
Listed Since
24 March 2023

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