Safe and Robust Neural Policy Learning with Statistical Verification for Sim-to-Real Deployment in Robotics.

arXiv:2608.06481v2 Announce Type: replace-cross Abstract: Synthesizing safe and robust neural controllers in simulation for reliable sim-to-real deployment remains a critical challenge in robotics. Existing learning-based methods typically lack safety and perf