Nash Equilibrium Approximation on Zero-sum games Dimension 7
133Iterations (10% Rel. Error)Parallelized Alternating Gradient Descent
Evaluation Results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| Parallelized Alternating Gradient DescentInstance=5, Parallelization=142025.07 | 133 | 548 | 1,390 | 2,233 | 5,164 | |
| Parallelized Alternating Gradient DescentInstance=Min, Parallelization=142025.07 | 133 | 163 | 802 | 828 | 2,524 | |
| Parallelized Alternating Gradient DescentInstance=4, Parallelization=142025.07 | 425 | 569 | 2,365 | 3,683 | 10,042 | |
| Parallelized Alternating Gradient DescentInstance=2, Parallelization=142025.07 | 454 | 497 | 1,786 | 3,067 | 10,535 | |
| Parallelized Alternating Gradient DescentInstance=30, Parallelization=142025.07 | 509 | 532 | 802 | 2,418 | 8,055 | |
| Parallelized Alternating Gradient DescentInstance=3, Parallelization=142025.07 | 1,633 | 1,678 | 6,967 | 8,713 | 24,466 | |
| Parallelized Alternating Gradient DescentInstance=Average, Parallelization=142025.07 | 1,856 | 2,055 | 3,225 | 6,161 | 19,812 | |
| Parallelized Alternating Gradient DescentInstance=1, Parallelization=142025.07 | 3,073 | 3,241 | 6,842 | 10,208 | 34,148 | |
| Parallelized Alternating Gradient DescentInstance=Max, Parallelization=142025.07 | 11,056 | 11,145 | 11,254 | 56,580 | 243,743 |