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Anglický jazyk
Learning for Decision and Control in Stochastic Networks
Autor: Longbo Huang
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... Viac o knihe
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O knihe
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.
- Vydavateľstvo: Springer International Publishing
- Rok vydania: 2023
- Formát: Hardback
- Rozmer: 246 x 173 mm
- Jazyk: Anglický jazyk
- ISBN: 9783031315961
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