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DRIFT achieves near real-time trajectory planning with 89.6 PDMS and 90.4 EPDMS by efficiently aggregating multiple driving behavior proposals without requiring extensive quality labels.
The effectiveness of on-policy distillation hinges not on the size of the teacher model, but on the quality of the guiding signal, revealing critical pathologies that can undermine exploration.
