Multi-Agent Reinforcement Learning
Benchmarks
Dataset NameSOTA methodMetricTrendResultsLast Updated
91.8Mean Episode Return
4
Jun 11, 2026
79.9Mean Episode Return
4
Jun 11, 2026
57.5Mean Episode Return
4
Jun 11, 2026
30.3Mean Episode Return
4
Jun 11, 2026
35.6Mean Episode Return
4
Jun 11, 2026
66.2Mean Episode Return
4
Jun 11, 2026
0.98Efficiency
4
Jun 5, 2026
100Efficiency
4
Jun 5, 2026
1Efficiency
4
Jun 5, 2026
61.56Win Rate (%)
4
Apr 10, 2026
86.7Mean Win Rate
4
Mar 13, 2026
57Mean Win Rate
4
Mar 13, 2026
63.4Mean Win Rate
4
Mar 13, 2026
91.2Mean Win Rate
4
Mar 13, 2026
79Mean Win Rate
4
Mar 13, 2026
31.3Score (Terran, 3 units)
4
Mar 13, 2026
37.5Win Rate - Terran (3 Units)
4
Mar 13, 2026
30.3Total Mean Win Rate
4
Mar 13, 2026
31.3Terran Win Rate
4
Mar 13, 2026
40.05AUC
4
Feb 26, 2026
95Win Rate
4
Feb 26, 2026
100Win Rate
4
Feb 26, 2026
100Win Rate
4
Feb 26, 2026
0.95Win Rate
4
Feb 26, 2026
0.938Normalized Score
4
Feb 26, 2026