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Benchmarks
Approximating Nash Equilibria on Zero-sum games small learning rates Dimension 5, 10, 15, 20
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0.0001
Average Relative Error (1 min)
Alternating GD
0.000074
0.00017
0.000267
0.000363
Jul 15, 2025
Average Relative Error (1 min)
Average Relative Error (3 min)
Average Relative Error (5 min)
Parallelization Time (s)
Updated 1mo ago
Evaluation Results
Method
Method
Links
Average Relative Error (1 min)
Average Relative Error (3 min)
Average Relative Error (5 min)
Parallelization Time (s)
Alternating GD
Dimension=5
2025.07
0.0001
0.0001
0.0001
-
Alternating GD
Dimension=15
2025.07
0.0002
0.0001
0
-
Alternating GD
Dimension=20
2025.07
0.0004
0.0001
0.0001
-
Alternating GD
Dimension=10
2025.07
0.0004
0.0001
0.0001
-
Parallelized Alternating Gradient Descent
Dimension=5
2025.07
-
-
-
0.0013
Parallelized Alternating Gradient Descent
Dimension=10
2025.07
-
-
-
0.0019
Parallelized Alternating Gradient Descent
Dimension=15
2025.07
-
-
-
0.0045
Parallelized Alternating Gradient Descent
Dimension=20
2025.07
-
-
-
0.0021
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