Dynamics Distillation for Efficient and Transferable Control Learning
arXiv:2605.01516v1 Announce Type: new
Abstract: Robust control policy learning for autonomous driving requires training environments to be both physically realistic and computationally scalable, properties that existing simulators provide only in isol…