State estimation on Prey-predator model stochastic Lotka-Volterra (test)
0.32MSEPVMC
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| PVMCTraining approach=Smoothing2026.05 | 0.32 | 0.4 | 2.96 | 1 | 0 | |
| P-VAETraining approach=Smoothing2026.05 | 0.43 | 1.21 | 20.9 | 1 | 0 | |
| DiffusionTraining approach=Filtering2026.05 | 0.52 | 0.56 | 10.2 | 267 | 0 | |
| SoftTraining approach=Filtering2026.05 | 0.62 | 0.58 | 6.7 | 15 | 7 | |
| Stop-gradientTraining approach=Filtering2026.05 | 0.83 | 0.72 | 14.8 | 16 | 2 | |
| MDPSTraining approach=Smoothing2026.05 | 1.2 | 1.32 | 13.5 | 26 | 14 |