From Proxy Learning to Driving Decisions: A Transfer-Based Framework for Evaluating Future-Aware Autonomous Driving Planners
The Proxy-to-Decision Transfer (PDT) Framework is proposed, an analysis framework that evaluates when learned future information supports a reliable driving-performance improvement claim, and identifies where decision transfer fails or remains indeterminate across proxy, subset, aggregate, and selection evidence.