Yuanyang Lu

Ess-InfoGAIL: Semi-supervised Imitation Learning from Imbalanced Demonstrations

Imitation learning aims to reproduce expert behaviors without relying on an explicit reward signal. However, real-world demonstrations often present challenges, such as multi-modal, data imbalance, and expensive labeling processes. In this work, we propose a novel semi-supervised imitation learning…