An LLM, given carefully worded rules, can act as a supervisory controller for a simulated vehicle, but reliability depends on rule phrasing and decision frequency.
Embedding synthetic off-policy experience for autonomous driving via zero-shot curricula
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Systems Engineering for Autonomous Vehicles; Supervising AI using Large Language Models (SSuperLLM)
An LLM, given carefully worded rules, can act as a supervisory controller for a simulated vehicle, but reliability depends on rule phrasing and decision frequency.