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Benchmarks
Best Arm Identification on Concave arm-to-reward function (K=40) (synthetic)
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0.02
Error Rate
SR
-0.0296
0.3052
0.64
0.9748
Dec 19, 2023
Error Rate
Updated 4d ago
Evaluation Results
Method
Method
Links
Error Rate
SR
Budget (T)=3,200
2023.12
0.02
CR-A
Budget (T)=3,200
2023.12
0.02
CR-A
Budget (T)=2,800
2023.12
0.03
CR-C
Budget (T)=3,200
2023.12
0.04
CR-C
Budget (T)=2,800
2023.12
0.08
CR-A
Budget (T)=2,400
2023.12
0.08
SR
Budget (T)=2,800
2023.12
0.1
CR-C
Budget (T)=2,400
2023.12
0.18
SR
Budget (T)=2,400
2023.12
0.23
SH
Budget (T)=3,200
2023.12
0.35
SH
Budget (T)=2,800
2023.12
0.6
UGapE
Budget (T)=3,200
2023.12
0.94
UGapE
Budget (T)=2,800
2023.12
0.98
UGapE
Budget (T)=2,400
2023.12
1.03
SH
Budget (T)=2,400
2023.12
1.26
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