Research
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Decomposing the Generalization Gap in Imitation Learning for Visual Robotic Manipulation
Annie Xie*,
Lisa Lee*,
Ted Xiao,
Chelsea Finn
International Conference on Robotics and Automation (ICRA), 2024
[arxiv][webpage]
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Supervised Pretraining Can Learn In-Context Reinforcement Learning
Jonathan N. Lee*,
Annie Xie*,
Aldo Pacchiano,
Yash Chandak,
Chelsea Finn,
Ofir Nachum,
Emma Brunskill
Conference on Neural Information Processing Systems (NeurIPS), 2023 (Spotlight)
[arxiv]
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When to Ask for Help: Proactive Interventions in Autonomous Reinforcement Learning
Annie Xie*,
Fahim Tajwar*,
Archit Sharma*,
Chelsea Finn
Conference on Neural Information Processing Systems (NeurIPS), 2022
[arxiv][webpage]
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Lifelong Robotic Reinforcement Learning by Retaining Experiences
Annie Xie,
Chelsea Finn
Conference on Lifelong Learning Agents (CoLLAs), 2022
Robot Learning Workshop at NeurIPS, 2021 (Best Paper Award)
[arxiv][webpage]
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Robust Policy Learning over Multiple Uncertainy Sets
Annie Xie,
Shagun Sodhani,
Chelsea Finn,
Joelle Pineau,
Amy Zhang
International Conference on Machine Learning (ICML), 2022
[arxiv][webpage]
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Influencing Towards Stable Multi-Agent Interactions
Woodrow Zhouyuan Wang,
Andy Shih,
Annie Xie,
Dorsa Sadigh
Conference on Robot Learning (CoRL), 2021 (Oral Presentation)
[arxiv][webpage]
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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]
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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]
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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]
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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]
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Visual Foresight: Model-Based Deep Reinforcement Learning for Vision-Based Robotic Control
Frederik Ebert,
Chelsea Finn,
Sudeep Dasari,
Annie Xie,
Alex Lee,
Sergey Levine
2018
[arxiv] [webpage] [blog post]
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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]
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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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