Multi-Agent Reinforcement Learning on SMAC 1c3s5z
99Success Rate (Dis-1)IBAL
Evaluation Results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| IBAL2026.05 | 99 | 71 | 93.3 | 86.7 | 83.3 | 86.7 | |
| ERNIE2026.05 | 87.6 | 29.5 | 91 | 79.3 | 47.7 | 67 | |
| ROMANCE2026.05 | 86.5 | 33.3 | 88 | 72.7 | 58.7 | 67.8 | |
| ATLA2026.05 | 85.4 | 39.6 | 90.3 | 78.3 | 62 | 69.5 | |
| Rand-Obs2026.05 | 81.2 | 42 | 83.7 | 77 | 67 | 69.2 | |
| Vanilla QMIX2026.05 | 80.8 | 35.4 | 85.3 | 84.3 | 66.3 | 70.4 | |
| Rand-Act2026.05 | 80.6 | 26.3 | 85.7 | 70 | 61.5 | 65.9 | |
| FGSM2026.05 | 80.2 | 32.3 | 88 | 82.7 | 67.9 | 70.2 | |
| WALL2026.05 | 80.2 | 50 | 92 | 81.7 | 61.7 | 73.1 |