Mei-Ling Yu

Evidence-Guided Counterfactual Learning for Long-Tailed Robotic Policies

In the practical deployment of vision--language--action policies, handling long-tailed task distributions is a common challenge due to the highly imbalanced composition of robot demonstration datasets. To investigate this issue, we study the head-task action bias in shared robot policies, particularly focusing on its r...