ResearchBenchmarksMulti-armed Bandit Regret Minimization on K-armed banditsFollow1Minimax RatioMOTS0.950.97511.025Jun 7, 2022Evaluation ResultsMethodMethodLinksMinimax RatioAsymptotic OptimalitySub-UCBMOTSReward Type=sub-Gaussi...Reward Type=sub-Gaussian, Anytime=false2022.061——MOTS-JReward Type=Gaussian,...Reward Type=Gaussian, Anytime=false2022.061——ExpTS+Reward Type=Exponentia...Reward Type=Exponential Family, Anytime=true2022.061——