Jeremy Morton, Tim A. Wheeler, and Mykel J. Kochenderfer
IEEE Transactions on Intelligent Vehicles, in review
Automotive manufacturers must establish confidence in the safety of their system through large-scale testing. Devoting resources to testing a system whose safety is uncertain is a risky proposition. We frame the test scheduling problem as a POMDP with belief-dependent rewards, show to to efficiently solve for optimal policies, and provide high-level takeaways for manufacturers and regulators.