Thompson sampling-based online decision making in network routing
Online decision making is a kind of machine learning problems where decisions are made in a sequential manner so as to accumulate as many rewards as possible. Typical examples include multi-armed bandit (MAB) problems where an agent needs to decide which arm to pull in each round, and network rout...
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| Format: | Others |
| Language: | English en |
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2020
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| Online Access: | http://hdl.handle.net/1828/12095 |