Multi-Agent Reinforcement Learning on SMAC 2s3z v1
100.2Normalized Win RateMAST
Evaluation Results
| Method | Links | |
|---|---|---|
| MASTAlg.=WQ-MIX, Sparsity=90%, Total Size=0.106x, FLOPs (Train)=0.100x, FLOPs (Test)=0.100x2024.09 | 100.2 | |
| MASTAlg.=RES, Sparsity=90%, Total Size=0.111x, FLOPs (Train)=0.104x, FLOPs (Test)=0.100x2024.09 | 98.4 | |
| MASTAlg.=Q-MIX, Sparsity=95%, Total Size=0.062x, FLOPs (Train)=0.051x, FLOPs (Test)=0.050x2024.09 | 98 | |
| TinyAlg.=RES, Sparsity=90%, Total Size=0.111x, FLOPs (Train)=0.104x, FLOPs (Test)=0.100x2024.09 | 96.5 | |
| RigLAlg.=RES, Sparsity=90%, Total Size=0.111x, FLOPs (Train)=0.104x, FLOPs (Test)=0.100x2024.09 | 94.7 | |
| RLx2Alg.=RES, Sparsity=90%, Total Size=0.111x, FLOPs (Train)=0.104x, FLOPs (Test)=0.100x2024.09 | 94 | |
| SSAlg.=RES, Sparsity=90%, Total Size=0.111x, FLOPs (Train)=0.104x, FLOPs (Test)=0.100x2024.09 | 92.8 | |
| SETAlg.=RES, Sparsity=90%, Total Size=0.111x, FLOPs (Train)=0.104x, FLOPs (Test)=0.100x2024.09 | 92.8 | |
| TinyAlg.=WQ-MIX, Sparsity=90%, Total Size=0.106x, FLOPs (Train)=0.100x, FLOPs (Test)=0.100x2024.09 | 89.6 | |
| RLx2Alg.=WQ-MIX, Sparsity=90%, Total Size=0.106x, FLOPs (Train)=0.100x, FLOPs (Test)=0.100x2024.09 | 87.3 | |
| RigLAlg.=WQ-MIX, Sparsity=90%, Total Size=0.106x, FLOPs (Train)=0.100x, FLOPs (Test)=0.100x2024.09 | 86.8 | |
| SETAlg.=WQ-MIX, Sparsity=90%, Total Size=0.106x, FLOPs (Train)=0.100x, FLOPs (Test)=0.100x2024.09 | 85.9 | |
| TinyAlg.=Q-MIX, Sparsity=95%, Total Size=0.062x, FLOPs (Train)=0.051x, FLOPs (Test)=0.050x2024.09 | 83.7 | |
| SETAlg.=Q-MIX, Sparsity=95%, Total Size=0.062x, FLOPs (Train)=0.051x, FLOPs (Test)=0.050x2024.09 | 77.6 | |
| SSAlg.=WQ-MIX, Sparsity=90%, Total Size=0.106x, FLOPs (Train)=0.100x, FLOPs (Test)=0.100x2024.09 | 75.4 | |
| SSAlg.=Q-MIX, Sparsity=95%, Total Size=0.062x, FLOPs (Train)=0.051x, FLOPs (Test)=0.050x2024.09 | 73 | |
| RigLAlg.=Q-MIX, Sparsity=95%, Total Size=0.062x, FLOPs (Train)=0.051x, FLOPs (Test)=0.050x2024.09 | 69.4 | |
| RLx2Alg.=Q-MIX, Sparsity=95%, Total Size=0.062x, FLOPs (Train)=0.051x, FLOPs (Test)=0.050x2024.09 | 45.8 |