Table 2 First three prizes of the optimal ten bidder auction of Algorithm 2.
From: Designing all-pay auctions using deep learning and multi-agent simulation
w | \(w^*_1\) | \(w^*_2\) | \(w^*_3\) | Gini |
|---|---|---|---|---|
0.000 | 1.000 | 0.000 | 0.000 | 0.900 |
0.002 | 0.916 | 0.084 | 0.000 | 0.883 |
0.004 | 0.850 | 0.075 | 0.075 | 0.855 |
0.006 | 0.848 | 0.152 | 0.000 | 0.870 |
0.008 | 0.733 | 0.260 | 0.004 | 0.844 |
0.010 | 0.500 | 0.500 | 0.000 | 0.800 |
0.020 | 0.500 | 0.500 | 0.000 | 0.800 |
0.030 | 0.500 | 0.500 | 0.000 | 0.800 |
0.040 | 0.471 | 0.325 | 0.204 | 0.753 |
0.050 | 0.461 | 0.319 | 0.209 | 0.746 |
0.060 | 0.443 | 0.319 | 0.152 | 0.724 |
