RL

Query-Efficient Online Imitation Learning Through Recovery Policy. We proposed a query-efficient online imitation learning framework that integrates a learned recovery policy to reduce expert supervision. The results show that we reduced expert annotation cost by $\sim90\%$ while preserving task performance.

Dec 23, 2025