Multi-Agent Reinforcement Learning on SMAC 3m (test)
98.6Natural PerformanceIBAL
Evaluation results
| Method | Links | |||||||
|---|---|---|---|---|---|---|---|---|
| IBAL2026.05 | 98.6 | 62.3 | 87.1 | 89 | 70.1 | 78.3 | 80.9 | |
| ATLA2026.05 | 97.2 | 58 | 86.3 | 45.8 | 45.6 | 0 | 55.5 | |
| WALL2026.05 | 97.2 | 48.3 | 70 | 86.7 | 83.3 | 0 | 64.2 | |
| ROMANCE2026.05 | 97.1 | 49.7 | 72 | 88.5 | 41 | 1 | 58.2 | |
| Rand-Obs2026.05 | 96.9 | 48.7 | 86 | 54.2 | 44.8 | 0 | 55.4 | |
| ERNIE2026.05 | 96.9 | 46.3 | 85 | 41.7 | 36.5 | 5.2 | 51.9 | |
| Rand-Act2026.05 | 96.8 | 42.3 | 79.7 | 83.3 | 43.8 | 0 | 57.6 | |
| Vanilla QMIX2026.05 | 96 | 45 | 76.3 | 62.5 | 38.8 | 0 | 53.1 | |
| FGSM2026.05 | 94.7 | 56.7 | 96.3 | 45.8 | 46.9 | 1 | 56.9 |