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Bandit Regret Minimization research benchmarks · SOTA2 Research

Bandit Regret Minimization

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

Vanishing-mismatch experiment

75.7Mean Cost-Weighted Pseudo-Regret

15

May 12, 2026

Wheel Bandit delta=0.9

Gradient-Laplace

7,654.6Final Cumulative Regret (Mean)

10

May 12, 2026

Wheel Bandit delta=0.95

Gradient-Laplace

8,211.9Mean Cumulative Regret

10

May 12, 2026

Checkpoint-based (evaluation)

427.7Mean Difference

5

May 12, 2026

Popular datasets

Wheel Bandit Vanishing-mismatch experiment Checkpoint-based

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