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Bayesian Optimization -- Multi-Armed Bandit Problem

A report on Bayesian Optimization methods applied to the Multi-Armed Bandit Problem, focusing on acquisition functions and portfolio strategies, and replicating experiments from a referenced paper.

Year
2020
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arXiv 2020
Authors
4
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Abstract onlyARXIV-DEFAULT

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arxiv.org/abs/2012.07885ARXIV-DEFAULT
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Abstract

In this report, we survey Bayesian Optimization methods focussed on the Multi-Armed Bandit Problem. We take the help of the paper "Portfolio Allocation for Bayesian Optimization". We report a small literature survey on the acquisition functions and the types of portfolio strategies used in papers discussing Bayesian Optimization. We also replicate the experiments and report our findings and compare them to the results in the paper. Code link: https://colab.research.google.com/drive/1GZ14klEDoe3dcBeZKo5l8qqrKf_GmBDn?usp=sharing#scrollTo=XgIBau3O45_V.

Authors

4