Design a system to enable autonomous vehicles to learn from driver interventions.
Instruction: Outline the data capture process, learning algorithm, and how interventions improve vehicle autonomy over time.
Updated
Example Answer
Driver interventions can provide useful demonstrations, but I would review their intent and quality before training. Inverse reinforcement learning attempts to infer objectives from behavior; those objectives may not be uniquely identifiable, and an intervention can reflect preference rather than safety. Keep a versioned offline dataset, evaluate proposed changes on independent scenarios and require release approval before deployment. Fewer takeovers alone does not prove a safer policy, especially when driver behavior or routes change.
Make it your own
Illustrative record: intervention reason, pre-intervention context, action, operator judgment and reviewer label. Keep conflicting demonstrations visible rather than averaging them into a supposed optimal objective.
Why this works
Learning a plausible reward is different from establishing safe driving behavior. Follow-up: how could two reward functions explain the same demonstrations but disagree on a new scenario?
Sources: NHTSA ADS safety guidance, scikit-learn model evaluation.