DRIVE uses exponential-family likelihoods to learn soft driving constraints from expert data and injects them into convex optimization, reporting 0.0% constraint violations on inD, highD, and RoundD.
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DRIVE: Dynamic Rule Inference and Verified Evaluation for Constraint-Aware Autonomous Driving
DRIVE uses exponential-family likelihoods to learn soft driving constraints from expert data and injects them into convex optimization, reporting 0.0% constraint violations on inD, highD, and RoundD.