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Learning for Decision and Control in Stochastic Networks

By (author) Longbo Huang

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normal price: R 1 888.95

Price: R 1 699.95


| book 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 details |



Normally shipped | Usually dispatched in 3 to 6 weeks as supplier is out of stock
Publisher | Springer International Publishing AG
Published date | 21 Jun 2024
Language |
Format | Paperback / softback
Pages | 71
Dimensions | 240 x 168 x 0mm (L x W x H)
Weight | 0g
ISBN | 978-3-0313-1599-2
Readership Age |
BISAC | computers / networking / general


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