Time-series prediction on ETT
0.0263RMSEGreedy
Evaluation Results
| Method | Links | |
|---|---|---|
| GreedyOptimization Strategy=Greedy, Number of agents=100, Model Architecture=RFN2026.05 | 0.0263 | |
| GreedyOptimization Strategy=Greedy, Number of agents=500, Model Architecture=RFN2026.05 | 0.0263 | |
| NashNumber of agents=5002026.05 | 0.0263 | |
| GreedyNumber of agents=1002026.05 | 0.0264 | |
| GreedyNumber of agents=5002026.05 | 0.0264 | |
| GreedyNumber of agents=252026.05 | 0.0264 | |
| NashNumber of agents=1002026.05 | 0.0264 | |
| NashNumber of agents=252026.05 | 0.0264 | |
| NashOptimization Strategy=Decentralized (Nash), Number of agents=25, Model Architecture=RFN2026.05 | 0.0265 | |
| NashOptimization Strategy=Decentralized (Nash), Number of agents=500, Model Architecture=RFN2026.05 | 0.0265 | |
| GreedyOptimization Strategy=Greedy, Number of agents=25, Model Architecture=RFN2026.05 | 0.0265 | |
| NashOptimization Strategy=Decentralized (Nash), Number of agents=100, Model Architecture=RFN2026.05 | 0.0266 | |
| NashModel Type=ESN, Agent Pool Size=1002026.05 | 0.0327 | |
| GreedyModel Type=ESN, Agent Pool Size=1002026.05 | 0.0417 | |
| GreedyModel Type=ESN, Agent Pool Size=5002026.05 | 0.0503 | |
| NashModel Type=RFN, Agent Pool Size=1002026.05 | 0.0572 | |
| NashModel Type=ESN, Agent Pool Size=5002026.05 | 0.0595 | |
| NashModel Type=RFN, Agent Pool Size=5002026.05 | 0.0945 | |
| GreedyModel Type=RFN, Agent Pool Size=1002026.05 | 0.1131 | |
| GreedyModel Type=RFN, Agent Pool Size=5002026.05 | 0.1774 | |
| GLMY OptimizedInitialization approach=Small-world2025.09 | 0.1927 | |
| GLMY OptimizedInitialization approach=Random2025.09 | 0.1961 | |
| Random RewiringInitialization approach=Small-world2025.09 | 0.1973 | |
| GLMY OptimizedInitialization approach=Scale-free2025.09 | 0.2017 | |
| Random RewiringInitialization approach=Random2025.09 | 0.3071 | |
| Random RewiringInitialization approach=Scale-free2025.09 | 0.3465 | |
| OriginInitialization approach=Small-world2025.09 | 0.4438 | |
| OriginInitialization approach=Random2025.09 | 0.4519 | |
| OriginInitialization approach=Scale-free2025.09 | 0.4615 |