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ResearchFormerly WizWand

Time series prediction on BoC

0.0067Average RMSENash
-0.0360170.2523940.5408060.829217May 6, 2026
Updated 6mo ago

Evaluation results

MethodLinks
NashNumber of agents=5002026.050.0067
NashNumber of agents=252026.050.0067
NashNumber of agents=1002026.050.0067
NashOptimization Strategy=Decentralized (Nash), Number of agents=100, Model Architecture=RFN2026.050.0069
NashOptimization Strategy=Decentralized (Nash), Number of agents=25, Model Architecture=RFN2026.050.0069
NashOptimization Strategy=Decentralized (Nash), Number of agents=500, Model Architecture=RFN2026.050.0069
GreedyNumber of agents=5002026.050.007
GreedyNumber of agents=1002026.050.0071
GreedyNumber of agents=252026.050.0072
NashModel Type=ESN, Agent Pool Size=1002026.050.0088
GreedyOptimization Strategy=Greedy, Number of agents=500, Model Architecture=RFN2026.050.0089
NashModel Type=ESN, Agent Pool Size=5002026.050.0093
GreedyOptimization Strategy=Greedy, Number of agents=100, Model Architecture=RFN2026.050.01
GreedyOptimization Strategy=Greedy, Number of agents=25, Model Architecture=RFN2026.050.0103
NashModel Type=RFN, Agent Pool Size=5002026.050.0232
NashModel Type=RFN, Agent Pool Size=1002026.050.0245
GreedyModel Type=ESN, Agent Pool Size=1002026.050.0748
GreedyModel Type=ESN, Agent Pool Size=5002026.050.1013
GreedyModel Type=RFN, Agent Pool Size=1002026.050.7151
GreedyModel Type=RFN, Agent Pool Size=5002026.051.0749