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ResearchFormerly WizWand

Time series prediction on BoC (val)

0.0049Average RMSENash
-0.0086520.0826080.1738690.265129May 6, 2026
Updated 6mo ago

Evaluation results

MethodLinks
NashNumber of agents=5002026.050.0049
NashNumber of agents=1002026.050.0049
NashNumber of agents=252026.050.0049
NashOptimization Strategy=Decentralized (Nash), Number of agents=25, Model Architecture=RFN2026.050.005
NashOptimization Strategy=Decentralized (Nash), Number of agents=100, Model Architecture=RFN2026.050.005
NashOptimization Strategy=Decentralized (Nash), Number of agents=500, Model Architecture=RFN2026.050.005
GreedyNumber of agents=1002026.050.005
GreedyNumber of agents=5002026.050.005
GreedyNumber of agents=252026.050.0052
NashModel Type=ESN, Agent Pool Size=1002026.050.0064
GreedyOptimization Strategy=Greedy, Number of agents=25, Model Architecture=RFN2026.050.0066
NashModel Type=ESN, Agent Pool Size=5002026.050.0067
GreedyOptimization Strategy=Greedy, Number of agents=500, Model Architecture=RFN2026.050.0069
GreedyOptimization Strategy=Greedy, Number of agents=100, Model Architecture=RFN2026.050.0071
NashModel Type=RFN, Agent Pool Size=5002026.050.0171
NashModel Type=RFN, Agent Pool Size=1002026.050.0176
GreedyModel Type=ESN, Agent Pool Size=1002026.050.0492
GreedyModel Type=ESN, Agent Pool Size=5002026.050.0575
GreedyModel Type=RFN, Agent Pool Size=1002026.050.1868
GreedyModel Type=RFN, Agent Pool Size=5002026.050.3429