Learning Hybrid-Control Policies for High-Precision In-Contact Manipulation Under Uncertainty
arXiv:2604.19677v1 Announce Type: cross
Abstract: Reinforcement learning-based control policies have been frequently demonstrated to be more effective than analytical techniques for many manipulation tasks. Commonly, these methods learn neural control…