Pricing problems with Thompson sampling
In 1933, William R. Thompson proposed an algorithm known as Thompson sampling in order to maximise culmulative payo in a multi-armed bandit (MAB) problem. MAB problems have been fre- quently used to model real-life decision making scenarios. This pa- per explores the extension of Thompson sampl...
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Format: | Final Year Project (FYP) |
Language: | English |
Published: |
2019
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Online Access: | http://hdl.handle.net/10356/77144 |