Xinyang Ren

Uncertainty-Guided Robotic Manipulation Through Variational Information Bottleneck in Imitation Learning

Traditional imitation learning methods typically rely on high-quality expert demonstrations and exhibit poor generalization when deployed in unfamiliar environments. A key limitation is their inability to effectively quantify and utilize epistemic uncertainty in the decision-making process. To addre