Time series prediction on BoC (val)
0.0049Average RMSENash
Evaluation Results
| Method | Links | |
|---|---|---|
| NashNumber of agents=5002026.05 | 0.0049 | |
| NashNumber of agents=1002026.05 | 0.0049 | |
| NashNumber of agents=252026.05 | 0.0049 | |
| NashOptimization Strategy=Decentralized (Nash), Number of agents=25, Model Architecture=RFN2026.05 | 0.005 | |
| NashOptimization Strategy=Decentralized (Nash), Number of agents=100, Model Architecture=RFN2026.05 | 0.005 | |
| NashOptimization Strategy=Decentralized (Nash), Number of agents=500, Model Architecture=RFN2026.05 | 0.005 | |
| GreedyNumber of agents=1002026.05 | 0.005 | |
| GreedyNumber of agents=5002026.05 | 0.005 | |
| GreedyNumber of agents=252026.05 | 0.0052 | |
| NashModel Type=ESN, Agent Pool Size=1002026.05 | 0.0064 | |
| GreedyOptimization Strategy=Greedy, Number of agents=25, Model Architecture=RFN2026.05 | 0.0066 | |
| NashModel Type=ESN, Agent Pool Size=5002026.05 | 0.0067 | |
| GreedyOptimization Strategy=Greedy, Number of agents=500, Model Architecture=RFN2026.05 | 0.0069 | |
| GreedyOptimization Strategy=Greedy, Number of agents=100, Model Architecture=RFN2026.05 | 0.0071 | |
| NashModel Type=RFN, Agent Pool Size=5002026.05 | 0.0171 | |
| NashModel Type=RFN, Agent Pool Size=1002026.05 | 0.0176 | |
| GreedyModel Type=ESN, Agent Pool Size=1002026.05 | 0.0492 | |
| GreedyModel Type=ESN, Agent Pool Size=5002026.05 | 0.0575 | |
| GreedyModel Type=RFN, Agent Pool Size=1002026.05 | 0.1868 | |
| GreedyModel Type=RFN, Agent Pool Size=5002026.05 | 0.3429 |