Robust Autonomous Driving Training
closed-loop min-max training and learnability-guided curricula for long-tail robustness.
Beyond finding failures, I am interested in turning adversarial scenarios into useful training signals for autonomous driving policies.
Recent work formulates closed-loop adversarial training as a min-max game and studies how learnability can guide curricula for safer and more efficient policy improvement.