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

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RE: Learning for Decision and Control in Stochastic Networks (Synthesis Lectures on Learning, Networks, and Algorithms) - book24h - 2025-04-07

[Kép: 5e175485d3d745b9198a38339b2d3762.webp]
Free Download Learning for Decision and Control in Stochastic Networks (Synthesis Lectures on Learning, Networks, and Algorithms) by Longbo Huang
English | June 20, 2023 | ISBN: 3031315960 | 82 pages | MOBI | 8.33 Mb
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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