2026
Dynamic Policy Learning for Legged Robot With Simplified Model Pretraining and Model-Homotopy-Inspired Transfer
RA-L 2026
Generating dynamic motions for legged robots remains a challenging problem. While reinforcement learning has achieved notable success in various legged locomotion tasks, producing highly dynamic behaviors often requires extensive reward tuning or high-quality demonstrations. Leveraging reduced-order