Optimal Auction Design on Multi-setting Auction mixture of 2x3 to 3x7 settings (test)
4.467RevenueEquivariantNet
Evaluation results
| Method | Links | ||
|---|---|---|---|
| EquivariantNetSetting=3x72022.02 | 4.467 | 0.011 | |
| RegretFormerSetting=3x72022.02 | 4.14 | 0.0055 | |
| RegretNetSetting=3x72022.02 | 3.921 | 0.0043 | |
| EquivariantNetSetting=2x72022.02 | 3.834 | 0.0195 | |
| EquivariantNetSetting=3x62022.02 | 3.787 | 0.0092 | |
| RegretFormerSetting=2x72022.02 | 3.553 | 0.0048 | |
| RegretFormerSetting=3x62022.02 | 3.521 | 0.0048 | |
| RegretNetSetting=3x62022.02 | 3.362 | 0.0034 | |
| RegretNetSetting=2x72022.02 | 3.346 | 0.0046 | |
| EquivariantNetSetting=2x62022.02 | 3.226 | 0.016 | |
| EquivariantNetSetting=3x52022.02 | 3.108 | 0.0071 | |
| RegretFormerSetting=2x62022.02 | 3.006 | 0.0044 | |
| RegretFormerSetting=3x52022.02 | 2.911 | 0.0042 | |
| EquivariantNetSetting=average2022.02 | 2.889 | 0.0099 | |
| RegretNetSetting=2x62022.02 | 2.866 | 0.0043 | |
| RegretNetSetting=3x52022.02 | 2.786 | 0.0028 | |
| RegretFormerSetting=average2022.02 | 2.703 | 0.0039 | |
| EquivariantNetSetting=2x52022.02 | 2.646 | 0.0127 | |
| RegretNetSetting=average2022.02 | 2.573 | 0.0035 | |
| RegretFormerSetting=2x52022.02 | 2.471 | 0.0039 | |
| EquivariantNetSetting=3x42022.02 | 2.449 | 0.0051 | |
| RegretNetSetting=2x52022.02 | 2.339 | 0.0036 | |
| RegretFormerSetting=3x42022.02 | 2.312 | 0.0034 | |
| RegretNetSetting=3x42022.02 | 2.217 | 0.0026 | |
| EquivariantNetSetting=2x42022.02 | 2.07 | 0.0093 | |
| RegretFormerSetting=2x42022.02 | 1.951 | 0.0032 | |
| RegretNetSetting=2x42022.02 | 1.855 | 0.0034 | |
| EquivariantNetSetting=3x32022.02 | 1.795 | 0.0036 | |
| RegretFormerSetting=3x32022.02 | 1.708 | 0.0025 | |
| RegretNetSetting=3x32022.02 | 1.652 | 0.0032 | |
| EquivariantNetSetting=2x32022.02 | 1.504 | 0.0055 | |
| RegretFormerSetting=2x32022.02 | 1.432 | 0.0025 | |
| RegretNetSetting=2x32022.02 | 1.386 | 0.0031 |