Time series prediction on BoC
0.0067Average RMSENash
Evaluation Results
| Method | Links | |
|---|---|---|
| NashNumber of agents=5002026.05 | 0.0067 | |
| NashNumber of agents=252026.05 | 0.0067 | |
| NashNumber of agents=1002026.05 | 0.0067 | |
| NashOptimization Strategy=Decentralized (Nash), Number of agents=100, Model Architecture=RFN2026.05 | 0.0069 | |
| NashOptimization Strategy=Decentralized (Nash), Number of agents=25, Model Architecture=RFN2026.05 | 0.0069 | |
| NashOptimization Strategy=Decentralized (Nash), Number of agents=500, Model Architecture=RFN2026.05 | 0.0069 | |
| GreedyNumber of agents=5002026.05 | 0.007 | |
| GreedyNumber of agents=1002026.05 | 0.0071 | |
| GreedyNumber of agents=252026.05 | 0.0072 | |
| NashModel Type=ESN, Agent Pool Size=1002026.05 | 0.0088 | |
| GreedyOptimization Strategy=Greedy, Number of agents=500, Model Architecture=RFN2026.05 | 0.0089 | |
| NashModel Type=ESN, Agent Pool Size=5002026.05 | 0.0093 | |
| GreedyOptimization Strategy=Greedy, Number of agents=100, Model Architecture=RFN2026.05 | 0.01 | |
| GreedyOptimization Strategy=Greedy, Number of agents=25, Model Architecture=RFN2026.05 | 0.0103 | |
| NashModel Type=RFN, Agent Pool Size=5002026.05 | 0.0232 | |
| NashModel Type=RFN, Agent Pool Size=1002026.05 | 0.0245 | |
| GreedyModel Type=ESN, Agent Pool Size=1002026.05 | 0.0748 | |
| GreedyModel Type=ESN, Agent Pool Size=5002026.05 | 0.1013 | |
| GreedyModel Type=RFN, Agent Pool Size=1002026.05 | 0.7151 | |
| GreedyModel Type=RFN, Agent Pool Size=5002026.05 | 1.0749 |