Turning Safety into Competence: Minimally Exploitable Robot Policies via Safety-Filtered Reinforcement Learning.

arXiv:2609.27312v1 Announce Type: cross Abstract: Robots deployed for competitive tasks must outmaneuver their opponents without sacrificing safety. Existing approaches, including safe reinforcement learning (RL), train a single policy to achieve task success