Annie Xie

I am a third-year PhD student in CS at Stanford University, advised by Chelsea Finn. My research is supported by the NSF Graduate Research Fellowship.

Previously, I graduated from UC Berkeley, where I studied EECS and worked with Sergey Levine in the Berkeley Artificial Intelligence Research (BAIR) Lab.

Email  /  CV  /  Google Scholar

Lifelong Robotic Reinforcement Learning by Retaining Experiences
Annie Xie, Chelsea Finn
Influencing Towards Stable Multi-Agent Interactions
Woodrow Zhouyuan Wang, Andy Shih, Annie Xie, Dorsa Sadigh
Conference on Robot Learning (CoRL), 2021 (Oral Presentation)
Deep Reinforcement Learning amidst Lifelong Non-Stationarity
Annie Xie, James Harrison, Chelsea Finn
International Conference on Machine Learning (ICML), 2021
Lifelong Learning Workshop at ICML, 2020 (Best Paper Award)
[arxiv] [webpage]
Learning Latent Representations to Influence Multi-Agent Interaction
Annie Xie, Dylan P. Losey, Ryan Tolsma, Chelsea Finn, Dorsa Sadigh
Conference on Robot Learning (CoRL), 2020 (Best Paper Award)
[arxiv] [webpage] [blog post]
Learning Predictive Models From Observation and Interaction
Karl Schmeckpeper, Annie Xie, Oleh Rybkin, Stephen Tian, Kostas Daniilidis, Sergey Levine, Chelsea Finn
European Conference on Computer Vision (ECCV), 2020
[arxiv] [webpage]
Improvisation through Physical Understanding: Using Novel Objects as Tools with Visual Foresight
Annie Xie, Frederik Ebert, Sergey Levine, Chelsea Finn
Robotics: Science and Systems (RSS), 2019
[arxiv] [webpage] [blog post]
Visual Foresight: Model-Based Deep Reinforcement Learning for Vision-Based Robotic Control
Frederik Ebert, Chelsea Finn, Sudeep Dasari, Annie Xie, Alex Lee, Sergey Levine
[arxiv] [webpage] [blog post]
Few-Shot Goal Inference for Visuomotor Learning and Planning
Annie Xie, Avi Singh, Sergey Levine, Chelsea Finn
Conference on Robot Learning (CoRL), 2018
[arxiv] [webpage]
One-Shot Imitation from Observing Humans via Domain-Adaptive Meta-Learning
Tianhe Yu, Chelsea Finn, Annie Xie, Sudeep Dasari, Tianhao Zhang, Pieter Abbeel, Sergey Levine
Robotics: Science and Systems (RSS), 2018
[arxiv] [webpage]

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