Learning Loco-Manipulation From SMPC Demonstrations With Sparse Offline-to-Online RL.

arXiv:2608.12063v2 Announce Type: replace-cross Abstract: Integrating locomotion and manipulation is essential for robot autonomy, but scaling standard Reinforcement Learning (RL) to complex tasks is severely bottlenecked by the slow, manual process of dense r