Multi-agent reinforcement learning on GRF cthard 4v3
0.89Reward
FULLOBS
Updated 26d ago
Evaluation Results
| Method | Links | ||
|---|---|---|---|
2026.06 | 0.89 | 382 | |
2026.06 | 0.86 | 14 | |
2026.06 | 0.85 | 137 | |
2026.06 | 0.83 | 21.4 | |
2026.06 | 0.79 | 351 | |
2026.06 | 0.79 | 0 | |
2026.06 | 0.76 | 13.6 | |
2026.06 | 0.73 | 16.5 | |
2026.06 | 0.73 | 192 | |
2026.06 | 0.7 | 0 |