2026
Revisiting Distribution Correction Estimation for Offline Imitation Learning with Suboptimal Dataset
ICML 2026poster
Imitation Learning (IL) has demonstrated strong capabilities in learning high-quality policies from expert demonstrations for sequential decision-making tasks. Nonetheless, its effectiveness is significantly constrained in low-expert-data regimes. To mitigate this issue, previous works introduce ``*…