Time series prediction on Periodic
0.8445Average RMSEGreedy
Evaluation Results
| Method | Links | |
|---|---|---|
| GreedyNumber of agents=1002026.05 | 0.8445 | |
| GreedyNumber of agents=5002026.05 | 0.8486 | |
| GreedyNumber of agents=252026.05 | 0.8502 | |
| NashOptimization Strategy=Decentralized (Nash), Number of agents=25, Model Architecture=RFN2026.05 | 0.9171 | |
| NashOptimization Strategy=Decentralized (Nash), Number of agents=500, Model Architecture=RFN2026.05 | 0.9186 | |
| NashOptimization Strategy=Decentralized (Nash), Number of agents=100, Model Architecture=RFN2026.05 | 0.9188 | |
| GreedyOptimization Strategy=Greedy, Number of agents=500, Model Architecture=RFN2026.05 | 0.9816 | |
| GreedyOptimization Strategy=Greedy, Number of agents=100, Model Architecture=RFN2026.05 | 0.9857 | |
| GreedyOptimization Strategy=Greedy, Number of agents=25, Model Architecture=RFN2026.05 | 0.994 | |
| NashNumber of agents=252026.05 | 1.0568 | |
| NashNumber of agents=5002026.05 | 1.0568 | |
| NashNumber of agents=1002026.05 | 1.0574 | |
| GreedyModel Type=ESN, Agent Pool Size=5002026.05 | 1.1035 | |
| NashModel Type=ESN, Agent Pool Size=1002026.05 | 1.1581 | |
| NashModel Type=ESN, Agent Pool Size=5002026.05 | 1.1789 | |
| NashModel Type=RFN, Agent Pool Size=1002026.05 | 1.3013 | |
| NashModel Type=RFN, Agent Pool Size=5002026.05 | 2.6089 | |
| GreedyModel Type=ESN, Agent Pool Size=1002026.05 | 2.7267 | |
| GreedyModel Type=RFN, Agent Pool Size=1002026.05 | 3.0682 | |
| GreedyModel Type=RFN, Agent Pool Size=5002026.05 | 4.5723 |