Bandit Learning on Wine Quality Real Data Benign
666.74Mean RegretUCB
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| UCBReward Function Setting=Linear2026.02 | 666.74 | 9.13 | 692.6 | 12.02 | |
| Fair SmoothReward Function Setting=Smooth2026.02 | 763.67 | 22.95 | 135.3 | 15.93 | |
| OLS BanditReward Function Setting=Linear2026.02 | 914.56 | 238.24 | 955.9 | 263.57 | |
| GreedyReward Function Setting=Linear2026.02 | 943.63 | 473.61 | 1,029.1 | 617.07 | |
| Smooth BanditReward Function Setting=Smooth2026.02 | 1,001.31 | 14.62 | 911.7 | 18.49 | |
| Fair OLSReward Function Setting=Linear2026.02 | 1,076.82 | 27.02 | 167.5 | 9.84 | |
| RandomReward Function Setting=Linear2026.02 | 2,147.15 | 26.74 | 0 | 0 | |
| RandomReward Function Setting=Smooth2026.02 | 2,154.09 | 17.73 | 0 | 0 |