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Benchmarks
Best Arm Identification on Linear arm-to-reward function K=10
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0.0055
Error Probability
CR-A
0.003732
0.015666
0.0276
0.039534
Dec 19, 2023
Error Probability
Updated 4d ago
Evaluation Results
Method
Method
Links
Error Probability
CR-A
T=4,000
2023.12
0.0055
CR-A
T=3,600
2023.12
0.0081
CR-C
T=4,000
2023.12
0.0083
SR
T=4,000
2023.12
0.0103
CR-C
T=3,600
2023.12
0.0104
CR-A
T=3,200
2023.12
0.012
SR
T=3,600
2023.12
0.0153
CR-C
T=3,200
2023.12
0.0159
SR
T=3,200
2023.12
0.0209
UGapE
T=4,000
2023.12
0.0324
SH
T=4,000
2023.12
0.0349
SH
T=3,600
2023.12
0.0421
UGapE
T=3,600
2023.12
0.0422
UGapE
T=3,200
2023.12
0.0496
SH
T=3,200
2023.12
0.0497
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