Offline Multi-Agent Reinforcement Learning on SMAC Expert Marine-Hard
99.4Performance at 3m
HiSSD
Updated 1mo ago
Evaluation Results
| Method | Links | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2026.03 | 99.4 | 72.5 | 99.4 | 100 | 100 | 98.8 | 78.8 | 43.1 | 49.4 | 80.6 | 11.3 | 2.5 | 69.7 | |
2026.03 | 99.4 | 70.6 | 99.4 | 97.5 | 100 | 100 | 99.4 | 25 | 35.6 | 87.5 | 5.6 | 0.6 | 68.4 | |
2026.03 | 98.8 | 57.5 | 94.4 | 90.6 | 100 | 90 | 94.4 | 15 | 33.1 | 80.6 | 11.3 | 0.6 | 63.9 | |
2026.03 | 98.1 | 43.1 | 55.6 | 88.1 | 83.1 | 43.1 | 16.3 | 12.5 | 9.4 | 29.4 | 0 | 0 | 39.9 | |
2026.03 | 88.8 | 32.5 | 69.4 | 98.8 | 93.8 | 95 | 85.6 | 40 | 26.9 | 62.5 | 5 | 8.8 | 58.9 | |
2026.03 | 66.9 | 6.9 | 24.4 | 51.9 | 91.9 | 46.3 | 16.3 | 0.6 | 4.4 | 8.8 | 0 | 0 | 26.5 | |
2026.03 | 44.4 | 29.4 | 55.6 | 75.6 | 68.8 | 71.3 | 45.6 | 11.9 | 10.6 | 25.6 | 0 | 0 | 36.6 | |
2026.03 | 32.5 | 5.6 | 10.6 | 46.3 | 72.5 | 49.4 | 20 | 0.6 | 2.5 | 3.8 | 0 | 0 | 20.3 |