Yi-Hong Tang

World Models as Adversaries: Multi-Agent Self-Play Fine-Tuning for Robust Motion Planning

Robust motion planning in dense traffic requires autonomous vehicles to interact in rare and safety-critical scenarios that are underrepresented in naturalistic driving data. Although adversarial training offers a feasible solution, existing methods often rely on external scenario generators, heuristic perturbations, o...