Learning for Decision and Control in Stochastic Networks (eBook)

Longbo Huang (Autor)

eBook Download: PDF

2023
71 Seiten
Springer International Publishing (Verlag)
978-3-031-31597-8 (ISBN)

Infos

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.

Produkt-Details

• Erscheint lt. Verlag: 19.6.2023
• Reihe/Serie: Synthesis Lectures on Learning, Networks, and Algorithms
• Reihe/Serie: Synthesis Lectures on Learning, Networks, and Algorithms
• Zusatzinfo: XI, 71 p. 8 illus., 7 illus. in color.
• Sprache: englisch
• Themenwelt: Mathematik / Informatik ► Informatik ► Netzwerke
• Themenwelt: Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
• Themenwelt: Mathematik / Informatik ► Mathematik ► Statistik
• Themenwelt: Technik ► Elektrotechnik / Energietechnik
• Schlagworte: Convex Optimization • Drift Method • learning • Mean-field • Network Optimization • Online Learning • Reinforcement Learning
• ISBN-10: 3-031-31597-9 / 3031315979
• ISBN-13: 978-3-031-31597-8 / 9783031315978