Yuxuan Liu

According to our database, Yuxuan Liu authored at least 8 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Perception for Real-World Robotics Applications

Yuxuan Liu

PhD thesis, 2023

Self-Supervised Instance Segmentation by Grasping.

Yuxuan Liu, Xi Chen, Pieter Abbeel

IROS, 2023

Distributional Instance Segmentation: Modeling Uncertainty and High Confidence Predictions with Latent-MaskRCNN.

Yuxuan Liu, Nikhil Mishra, Pieter Abbeel, Xi Chen

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022

Autoregressive Uncertainty Modeling for 3D Bounding Box Prediction.

Yuxuan Liu, Nikhil Mishra, Maximilian Sieb, Yide Shentu, Pieter Abbeel, Xi Chen

Proceedings of the Computer Vision - ECCV 2022, 2022

2018

Meta-Reinforcement Learning of Structured Exploration Strategies.

Abhishek Gupta, Russell Mendonca, Yuxuan Liu, Pieter Abbeel, Sergey Levine

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Imitation from Observation: Learning to Imitate Behaviors from Raw Video via Context Translation.

Yuxuan Liu, Abhishek Gupta, Pieter Abbeel, Sergey Levine

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Self-Consistent Trajectory Autoencoder: Hierarchical Reinforcement Learning with Trajectory Embeddings.

John D. Co-Reyes, Yuxuan Liu, Abhishek Gupta, Benjamin Eysenbach, Pieter Abbeel, Sergey Levine

Proceedings of the 35th International Conference on Machine Learning, 2018

2017

Learning Invariant Feature Spaces to Transfer Skills with Reinforcement Learning.

Abhishek Gupta, Coline Devin, Yuxuan Liu, Pieter Abbeel, Sergey Levine

Proceedings of the 5th International Conference on Learning Representations, 2017