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Poster
in
Workshop: Complex feedback in online learning

Threshold Bandit Problem with Link Assumption between Pulls and Duels

Keshav Narayan · Aarti Singh


Abstract:

Building on prior work (Xu et al., 2020), we pro-pose a newer version of the Rank-Search algo-rithm, which aims to solve the Threshold BanditProblem when both duels and pulls are possible.Our algorithm, which requires an additional as-sumption connecting the borda scores of armswith their mean rewards, is able to perform in set-tings in which previous Rank-Search algorithmscannot. We conduct experiments comparing theperformance of the new algorithm with that ofolder versions of Rank-Search in various settings.Finally we prove upper bounds for the total num-ber of duels and pulls required by our proposedalgorithm, which we call Rank Search with Link(RS-L).

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