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ResearchFormerly WizWand

Time series prediction on ETT (val)

0.0512Average RMSEGreedy
0.0228330.2144160.4059980.59758May 6, 2026
Updated 6mo ago

Evaluation results

MethodLinks
GreedyNumber of agents=5002026.050.0512
GreedyNumber of agents=1002026.050.0512
GreedyNumber of agents=252026.050.0513
NashOptimization Strategy=Decentralized (Nash), Number of agents=500, Model Architecture=RFN2026.050.0514
NashNumber of agents=1002026.050.0514
NashNumber of agents=252026.050.0515
NashNumber of agents=5002026.050.0515
NashOptimization Strategy=Decentralized (Nash), Number of agents=100, Model Architecture=RFN2026.050.0516
GreedyOptimization Strategy=Greedy, Number of agents=100, Model Architecture=RFN2026.050.0517
NashOptimization Strategy=Decentralized (Nash), Number of agents=25, Model Architecture=RFN2026.050.0518
GreedyOptimization Strategy=Greedy, Number of agents=500, Model Architecture=RFN2026.050.0518
GreedyOptimization Strategy=Greedy, Number of agents=25, Model Architecture=RFN2026.050.0527
GreedyModel Type=ESN, Agent Pool Size=1002026.050.0604
NashModel Type=ESN, Agent Pool Size=1002026.050.0645
GreedyModel Type=ESN, Agent Pool Size=5002026.050.0814
NashModel Type=ESN, Agent Pool Size=5002026.050.0863
NashModel Type=RFN, Agent Pool Size=1002026.050.123
GreedyModel Type=RFN, Agent Pool Size=5002026.050.1258
NashModel Type=RFN, Agent Pool Size=5002026.050.177
GreedyModel Type=RFN, Agent Pool Size=1002026.050.7608