Time series prediction on Concept
0.2017Average RMSEGreedy
Evaluation Results
| Method | Links | |
|---|---|---|
| GreedyNumber of agents=252026.05 | 0.2017 | |
| GreedyNumber of agents=1002026.05 | 0.2069 | |
| GreedyNumber of agents=5002026.05 | 0.2077 | |
| GreedyOptimization Strategy=Greedy, Number of agents=25, Model Architecture=RFN2026.05 | 0.2403 | |
| GreedyOptimization Strategy=Greedy, Number of agents=100, Model Architecture=RFN2026.05 | 0.2433 | |
| GreedyOptimization Strategy=Greedy, Number of agents=500, Model Architecture=RFN2026.05 | 0.247 | |
| NashNumber of agents=252026.05 | 0.247 | |
| NashNumber of agents=1002026.05 | 0.2526 | |
| NashNumber of agents=5002026.05 | 0.2537 | |
| NashOptimization Strategy=Decentralized (Nash), Number of agents=100, Model Architecture=RFN2026.05 | 0.2595 | |
| NashOptimization Strategy=Decentralized (Nash), Number of agents=25, Model Architecture=RFN2026.05 | 0.2597 | |
| NashOptimization Strategy=Decentralized (Nash), Number of agents=500, Model Architecture=RFN2026.05 | 0.2615 |