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Papers Benchmarks Datasets Tasks

Best Arm Identification research benchmarks – Page 3 · SOTA2 Research

Best Arm Identification

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

Loopless Clique Graph Large: K=10, H=50

83Best Arm ID Probability

4

Mar 4, 2026

Loopless Clique Graph Small: K=5, H=25

95Identification Probability

4

Mar 4, 2026

Loopy Star Graph Large: K=10, H=50

73Identification Probability

4

Mar 4, 2026

Loopy Star Graph Small: K=5, H=25

88Identification Probability

4

Mar 4, 2026

KuaiSAR-based (Separator)

411Avg. Stopping Time

3

May 13, 2026

KuaiSAR Non-separator

6,973Average Stopping Time

2

May 13, 2026

Hybrid GLM Feedback Model

Cost-aware-HyTS (Sec. 4.2)

1Sample Complexity

2

May 8, 2026

Logistic Feedback Model

Jun et al. [2021]

1Sample Complexity

2

May 8, 2026

3Sample Complexity Upper Bound

2

Apr 14, 2026

Synthetic Bandit Task Experiment A ε = 0

577,348Sample Complexity

2

Feb 26, 2026

Dueling Bandits

2Guarantee

1

Jun 2, 2026

Generalized Linear Model (GLM) Feedback

Kazerouni and Wein [2021]

1Sample Complexity

1

May 8, 2026

Linear Feedback Model

Jedra and Proutiere [2020]

1Sample Complexity

1

May 8, 2026

Synthetic Bandit Task Experiment A ε = 5

553,536Sample Complexity

1

Feb 26, 2026

Bounded reward distribution with unknown variances

—

—Primary metric

0

Feb 26, 2026

Sub-Gaussian reward distribution with known noise level

—

—Primary metric

0

Feb 26, 2026

Gaussian Bandit Problems

—

—Primary metric

0

Feb 26, 2026

—

—Primary metric

0

Feb 26, 2026

—

—Primary metric

0

Feb 26, 2026

Page 3 of 3

Popular datasets

ε-Best-Arm Problem Convex arm-to-reward function One group of suboptimal arms Two groups of suboptimal arms Concave arm-to-reward function

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