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Safe Reinforcement Learning on FormulaOne (L2)

63.9JR ScoreCPO-Decoupled
-2.34814.85132.0549.249Jun 9, 2026

Evaluation results

MethodLinks
CPO-DecoupledType=Ours (CMDP+VLM cost), Seeds=32026.0663.930.9
PPOLag-DecoupledType=Ours (CMDP+VLM cost), Seeds=32026.0663.840.7
VLMPPOLagType=Ours (CMDP+VLM cost), Seeds=32026.0663.840.2
PPO-CLGType=CLG (VLM-as-reward), Seeds=32026.0651.3156.6
CPO-CLGType=CLG (VLM-as-reward), Seeds=32026.0650.933.9
VLMPPOLag+Conf*Type=Ours (CMDP+VLM cost), Seeds=5, Gating=Calibrated gate from Eq. (5)2026.0631.822.5
CPO-CoupledType=Ours (CMDP+VLM cost), Seeds=32026.0621.632.4
PPOType=RL (pure RL), Seeds=32026.061.3269.2
PPOLagType=CMDP (no VLM), Seeds=32026.060.755.8
PPOLag-RNDType=RND (intrinsic-novelty ablation), Seeds=32026.060.445.7
CPOType=CMDP (no VLM), Seeds=32026.060.336.1
CPPOPIDType=CMDP (no VLM), Seeds=32026.060.222.8