Multi-Agent Reinforcement Learning on SMAC Stalker-Zealot Unseen (test)
82.5Mean Win RateHiSSD
Evaluation Results
| Method | Links | |
|---|---|---|
| HiSSD2026.03 | 82.5 | |
| STAIRS-Former2026.03 | 78.1 | |
| STAIRS-Former2026.03 | 48.2 | |
| HiSSD2026.03 | 31.5 | |
| UPDeT-m2026.03 | 25.6 | |
| ODIS2026.03 | 23.1 | |
| ODIS2026.03 | 22.5 | |
| UPDeT-m2026.03 | 13.7 |