Multi-Agent Reinforcement Learning on SMAC 3m v1
100.9Normalized Win RateMAST
Evaluation Results
| Method | Links | |
|---|---|---|
| MASTAlg.=Q-MIX, Sparsity=95%, Total Size=0.066x, FLOPs (Train)=0.051x, FLOPs (Test)=0.050x2024.09 | 100.9 | |
| MASTAlg.=RES, Sparsity=95%, Total Size=0.066x, FLOPs (Train)=0.055x, FLOPs (Test)=0.050x2024.09 | 99.8 | |
| MASTAlg.=WQ-MIX, Sparsity=90%, Total Size=0.108x, FLOPs (Train)=0.100x, FLOPs (Test)=0.100x2024.09 | 98.6 | |
| TinyAlg.=Q-MIX, Sparsity=95%, Total Size=0.066x, FLOPs (Train)=0.051x, FLOPs (Test)=0.050x2024.09 | 98.3 | |
| TinyAlg.=WQ-MIX, Sparsity=90%, Total Size=0.108x, FLOPs (Train)=0.100x, FLOPs (Test)=0.100x2024.09 | 98.3 | |
| RLx2Alg.=WQ-MIX, Sparsity=90%, Total Size=0.108x, FLOPs (Train)=0.100x, FLOPs (Test)=0.100x2024.09 | 98 | |
| RLx2Alg.=RES, Sparsity=95%, Total Size=0.066x, FLOPs (Train)=0.055x, FLOPs (Test)=0.050x2024.09 | 97.9 | |
| SETAlg.=WQ-MIX, Sparsity=90%, Total Size=0.108x, FLOPs (Train)=0.100x, FLOPs (Test)=0.100x2024.09 | 97.8 | |
| RigLAlg.=WQ-MIX, Sparsity=90%, Total Size=0.108x, FLOPs (Train)=0.100x, FLOPs (Test)=0.100x2024.09 | 97.8 | |
| TinyAlg.=RES, Sparsity=95%, Total Size=0.066x, FLOPs (Train)=0.055x, FLOPs (Test)=0.050x2024.09 | 97.8 | |
| SETAlg.=RES, Sparsity=95%, Total Size=0.066x, FLOPs (Train)=0.055x, FLOPs (Test)=0.050x2024.09 | 97.3 | |
| SSAlg.=WQ-MIX, Sparsity=90%, Total Size=0.108x, FLOPs (Train)=0.100x, FLOPs (Test)=0.100x2024.09 | 96.9 | |
| SETAlg.=Q-MIX, Sparsity=95%, Total Size=0.066x, FLOPs (Train)=0.051x, FLOPs (Test)=0.050x2024.09 | 96 | |
| SSAlg.=RES, Sparsity=95%, Total Size=0.066x, FLOPs (Train)=0.055x, FLOPs (Test)=0.050x2024.09 | 95.6 | |
| RigLAlg.=Q-MIX, Sparsity=95%, Total Size=0.066x, FLOPs (Train)=0.051x, FLOPs (Test)=0.050x2024.09 | 95.3 | |
| SSAlg.=Q-MIX, Sparsity=95%, Total Size=0.066x, FLOPs (Train)=0.051x, FLOPs (Test)=0.050x2024.09 | 91.6 | |
| RigLAlg.=RES, Sparsity=95%, Total Size=0.066x, FLOPs (Train)=0.055x, FLOPs (Test)=0.050x2024.09 | 91.1 | |
| RLx2Alg.=Q-MIX, Sparsity=95%, Total Size=0.066x, FLOPs (Train)=0.051x, FLOPs (Test)=0.050x2024.09 | 12.1 |