Using Large Models to Oversee Smaller Models' Future Actions: Early On-Policy Distillation for Autonomous Driving
abursuc · x · 2026-09-16
In discussions around SSAD 2026, researcher abursuc outlined an approach for bringing LLM-style "think-ahead" to autonomous driving: a large teacher model supervises the future actions of a smaller student model. On closer inspection, this can be viewed as an early form of on-policy distillation applied to driving tasks.
Related event: SSAD 2026 Explores LLM-Style Think-Ahead Supervision for Autonomous Driving(3 posts)→
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