Multi-Agent Reinforcement Learning on SMAC Stalker-Zealot Unseen (test)
82.5Mean Win Rate
HiSSD
Updated 1mo ago
Evaluation Results
| Method | Links | |
|---|---|---|
2026.03 | 82.5 | |
2026.03 | 78.1 | |
2026.03 | 48.2 | |
2026.03 | 31.5 | |
2026.03 | 25.6 | |
2026.03 | 23.1 | |
2026.03 | 22.5 | |
2026.03 | 13.7 |
HiSSD
| Method | Links | |
|---|---|---|
2026.03 | 82.5 | |
2026.03 | 78.1 | |
2026.03 | 48.2 | |
2026.03 | 31.5 | |
2026.03 | 25.6 | |
2026.03 | 23.1 | |
2026.03 | 22.5 | |
2026.03 | 13.7 |