Learning Invariant Feature Spaces to Transfer Skills with Reinforcement Learning. - Abhishek Gupta 004; Coline Devin; Yuxuan Liu 001; Pieter Abbeel; Sergey Levine (ICLR (Poster), 2017)

Self-Consistent Trajectory Autoencoder: Hierarchical Reinforcement Learning with Trajectory Embeddings. - John D. Co-Reyes; Yuxuan Liu 001; Abhishek Gupta 004; Benjamin Eysenbach; Pieter Abbeel; Sergey Levine (ICML, 2018)

Imitation from Observation: Learning to Imitate Behaviors from Raw Video via Context Translation. - Yuxuan Liu 001; Abhishek Gupta 004; Pieter Abbeel; Sergey Levine (ICRA, 2018)

Meta-Reinforcement Learning of Structured Exploration Strategies. - Abhishek Gupta 004; Russell Mendonca; Yuxuan Liu 001; Pieter Abbeel; Sergey Levine (NeurIPS, 2018)

Autoregressive Uncertainty Modeling for 3D Bounding Box Prediction. - Yuxuan Liu 001; Nikhil Mishra; Maximilian Sieb; Yide Shentu; Pieter Abbeel; Xi Chen 022 (ECCV (10), 2022)

Distributional Instance Segmentation: Modeling Uncertainty and High Confidence Predictions with Latent-MaskRCNN. - Yuxuan Liu 001; Nikhil Mishra; Pieter Abbeel; Xi Chen 022 (ICRA, 2023)

Self-Supervised Instance Segmentation by Grasping. - Yuxuan Liu 001; Xi Chen 022; Pieter Abbeel (IROS, 2023)

Perception for Real-World Robotics Applications - Yuxuan Liu 001 (2023)