ExpertGen: Scalable Sim-to-Real Expert Policy Learning from Imperfect Behavior Priors

ArXi:2603.15956v1 Announce Type: cross Learning generalizable and robust behavior cloning policies requires large volumes of high-quality robotics data. While human nstrations (e.g., through teleoperation) serve as the standard source for expert behaviors, acquiring such data at scale in the real world is prohibitively expensive. This paper