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Smart Help on AI2-THOR (Evaluation Environments)

59.3SRMCTSTG
2.116.9531.846.65Apr 13, 2024

Evaluation results

MethodLinks
MCTSTGnotes=Oracle/Upper Bound2024.0459.380.46167.8—16.27154.1
BaseModel-PLλe=0.0, Learning=Progressive Learning2024.0448.855.645.549.6-10.95924.38319.8
BaseModel-PL (Smart Helper)λe=1.0, Learning=Progressive Learning2024.0448.354.849.850.6-10.62524.6520
BaseModel2024.0441.951.540.841.2-15.17924.94517.6
BaseModel-w/o. CapabilityAblation=Without Capability Module2024.0437.450.437.537.9-13.85223.74823.5
LLM2024.0434.550.638.238.1—22.91421
MCTS-heuristic2024.0427.452.835.540—24.69219.9
End2endλe=0.02024.0426.744.114.931.5-23.21824.34321.2
BaseModelλe=1.02024.0418.146.619.320-17.18527.44812.2
MCTS2024.0417.848.226.632.8—26.74312.6
Random2024.047.436.45.45.7-31.33928.5675.4
End2endλe=1.02024.046.737.25.75.7-26.18328.7264.9
MCTSRG2024.044.334.81.51.5—28.954.2