HIGHLIGHTS
- What: This study provides a comparative analysis of four widely-adopted MAB algorithms-Epsilon Greedy Explore Then Commit (ETC) Upper Confidence Bound (UCB1) and Thompson Sampling-under the influence of biased initialization.
- Who: Algorithmic, Robustness and Jiahao, Gu from the New College, University of Toronto, Toronto, Ontario, M R , Canada have published the research work: Assessing the robustness of Multi-Armed Bandit algorithms against biased initialization, in the : Proceedings of the 4th International Conference on Signal Processing and Machine Learning
- How: The experiment consists of 10000 trials and is repeated 10 times to . . .
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