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Learning for Decision and Control in Stochastic Networks : eBColl Synthesis Collection 12 - Longbo Huang

Learning for Decision and Control in Stochastic Networks

By: Longbo Huang

eText | 19 June 2023

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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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Non-FictionEngineering & TechnologyElectronics & Communications EngineeringCommunications Engineering & TelecommunicationsMathematicsProbability & StatisticsComputing & I.T.DatabasesData Capture & AnalysisApplied MathematicsComputer ScienceArtificial Intelligence
Machine LearningOptimisationComputer Networking & CommunicationsBusiness Applications

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