Multi-Agent Reinforcement Learning on SMAC 6h* v1
104.9Normalized Win RateMAST
Evaluation Results
| Method | Links | |
|---|---|---|
| MASTAlg.=RES, Sparsity=85%, Total Size=0.155x, FLOPs (Train)=0.151x, FLOPs (Test)=0.150x2024.09 | 104.9 | |
| MASTAlg.=WQ-MIX, Sparsity=90%, Total Size=0.104x, FLOPs (Train)=0.100x, FLOPs (Test)=0.100x2024.09 | 98.4 | |
| MASTAlg.=Q-MIX, Sparsity=90%, Total Size=0.106x, FLOPs (Train)=0.100x, FLOPs (Test)=0.100x2024.09 | 97.6 | |
| TinyAlg.=RES, Sparsity=85%, Total Size=0.155x, FLOPs (Train)=0.151x, FLOPs (Test)=0.150x2024.09 | 83.3 | |
| RLx2Alg.=RES, Sparsity=85%, Total Size=0.155x, FLOPs (Train)=0.151x, FLOPs (Test)=0.150x2024.09 | 72.7 | |
| SETAlg.=Q-MIX, Sparsity=90%, Total Size=0.106x, FLOPs (Train)=0.100x, FLOPs (Test)=0.100x2024.09 | 67.1 | |
| TinyAlg.=Q-MIX, Sparsity=90%, Total Size=0.106x, FLOPs (Train)=0.100x, FLOPs (Test)=0.100x2024.09 | 58.2 | |
| RLx2Alg.=WQ-MIX, Sparsity=90%, Total Size=0.104x, FLOPs (Train)=0.100x, FLOPs (Test)=0.100x2024.09 | 52.8 | |
| TinyAlg.=WQ-MIX, Sparsity=90%, Total Size=0.104x, FLOPs (Train)=0.100x, FLOPs (Test)=0.100x2024.09 | 51 | |
| RigLAlg.=Q-MIX, Sparsity=90%, Total Size=0.106x, FLOPs (Train)=0.100x, FLOPs (Test)=0.100x2024.09 | 48.7 | |
| SETAlg.=WQ-MIX, Sparsity=90%, Total Size=0.104x, FLOPs (Train)=0.100x, FLOPs (Test)=0.100x2024.09 | 44.1 | |
| SETAlg.=RES, Sparsity=85%, Total Size=0.155x, FLOPs (Train)=0.151x, FLOPs (Test)=0.150x2024.09 | 44.1 | |
| RigLAlg.=WQ-MIX, Sparsity=90%, Total Size=0.104x, FLOPs (Train)=0.100x, FLOPs (Test)=0.100x2024.09 | 41 | |
| SSAlg.=Q-MIX, Sparsity=90%, Total Size=0.106x, FLOPs (Train)=0.100x, FLOPs (Test)=0.100x2024.09 | 40.2 | |
| SSAlg.=RES, Sparsity=85%, Total Size=0.155x, FLOPs (Train)=0.151x, FLOPs (Test)=0.150x2024.09 | 39.1 | |
| RigLAlg.=RES, Sparsity=85%, Total Size=0.155x, FLOPs (Train)=0.151x, FLOPs (Test)=0.150x2024.09 | 35.3 | |
| SSAlg.=WQ-MIX, Sparsity=90%, Total Size=0.104x, FLOPs (Train)=0.100x, FLOPs (Test)=0.100x2024.09 | 29.6 | |
| RLx2Alg.=Q-MIX, Sparsity=90%, Total Size=0.106x, FLOPs (Train)=0.100x, FLOPs (Test)=0.100x2024.09 | 9.9 |