000 03138nam a22006015i 4500
001 978-3-031-31597-8
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020 _a9783031315978
_9978-3-031-31597-8
024 7 _a10.1007/978-3-031-31597-8
_2doi
050 4 _aTK5105.5-.9
072 7 _aUT
_2bicssc
072 7 _aCOM043000
_2bisacsh
072 7 _aUT
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082 0 4 _a621.3821
_223
082 0 4 _a004.6
_223
100 1 _aHuang, Longbo.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_984775
245 1 0 _aLearning for Decision and Control in Stochastic Networks
_h[electronic resource] /
_cby Longbo Huang.
250 _a1st ed. 2023.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2023.
300 _aXI, 71 p. 8 illus., 7 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSynthesis Lectures on Learning, Networks, and Algorithms,
_x2690-4314
505 0 _aIntroduction -- The Stochastic Network Model -- Network Optimization Techniques -- Learning Network Decisions -- Summary and Discussions.
520 _aThis 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.
650 0 _aComputer Networks.
_93740
650 0 _aStochastic processes.
_93246
650 0 _aMachine learning.
_91831
650 0 _aApplication software.
_984776
650 0 _aComputer science.
_99832
650 0 _aMathematical optimization.
_94112
650 1 4 _aComputer Networks.
_93740
650 2 4 _aStochastic Networks.
_984778
650 2 4 _aMachine Learning.
_91831
650 2 4 _aComputer and Information Systems Applications.
_984780
650 2 4 _aComputer Science.
_99832
650 2 4 _aOptimization.
_984782
710 2 _aSpringerLink (Online service)
_984784
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031315961
776 0 8 _iPrinted edition:
_z9783031315985
776 0 8 _iPrinted edition:
_z9783031315992
830 0 _aSynthesis Lectures on Learning, Networks, and Algorithms,
_x2690-4314
_984786
856 4 0 _uhttps://doi.org/10.1007/978-3-031-31597-8
912 _aZDB-2-SXSC
942 _cEBK
999 _c85720
_d85719