Learning Sub-Second Routing Optimization in Computer Networks requires Packet-Level Dynamics
Learning Sub-Second Routing Optimization in Computer Networks requires Packet-Level Dynamics
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Ithaca: Cornell University Library, arXiv.org
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English
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Ithaca: Cornell University Library, arXiv.org
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Finding efficient routes for data packets is an essential task in computer networking. The optimal routes depend greatly on the current network topology, state and traffic demand, and they can change within milliseconds. Reinforcement Learning can help to learn network representations that provide routing decisions for possibly novel situations. So...
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Learning Sub-Second Routing Optimization in Computer Networks requires Packet-Level Dynamics
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TN_cdi_proquest_journals_3116745034
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_3116745034
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2331-8422