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Benchmarks
Multi-armed Bandit Regret Minimization on K-armed bandits
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Minimax Ratio
MOTS
0.95
0.975
1
1.025
Jun 7, 2022
Minimax Ratio
Asymptotic Optimality
Sub-UCB
Updated 1mo ago
Evaluation Results
Method
Method
Links
Minimax Ratio
Asymptotic Optimality
Sub-UCB
MOTS
Reward Type=sub-Gaussi...
2022.06
1
-
-
MOTS-J
Reward Type=Gaussian,...
2022.06
1
-
-
ExpTS+
Reward Type=Exponentia...
2022.06
1
-
-
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