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books
| book details |
Learning for Decision and Control in Stochastic Networks
By (author) Longbo Huang
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| on special |
normal price: R 1 980.95
Price: R 1 881.95
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| 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 |
Publisher | Springer International Publishing AG
Published date | 20 Jun 2023
Language |
Format | Hardback
Pages | 71
Dimensions | 240 x 168 x 0mm (L x W x H)
Weight | 0g
ISBN | 978-3-0313-1596-1
Readership Age |
BISAC | computers / networking / general
| other options |
Normally shipped |
Readership Age |
Normal Price | R 2 473.95
Price | R 2 349.95
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| specials |
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Carlo Rovelli
Paperback / softback
208 pages
was: R 295.95
now: R 265.95
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Carlo Rovelli
Paperback / softback
224 pages
was: R 295.95
now: R 265.95
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Originally published in Italian: L'ordine del tempo (Milan: Adelphi Edizioni, 2017).
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