3 papers
stat.ML2025
Feature Matching Intervention: Leveraging Observational Data for Causal Representation Learning
Haoze Li, Jun Xie
A major challenge in causal discovery from observational data is the absence of perfect interventions, making it difficult to distinguish causal features from spurious ones. We pro…
cs.RO2024
Subconscious Robotic Imitation Learning
Jun Xie, Zhicheng Wang, Jianwei Tan +2
Although robotic imitation learning (RIL) is promising for embodied intelligent robots, existing RIL approaches rely on computationally intensive multi-model trajectory predictions…
cs.RO2024
Constrained Behavior Cloning for Robotic Learning
Wensheng Liang, Jun Xie, Zhicheng Wang +2
Behavior cloning (BC) is a popular supervised imitation learning method in the societies of robotics, autonomous driving, etc., wherein complex skills can be learned by direct imit…