Annie Xie

I am a research scientist at Google DeepMind. My current focus is on building agents for the physical world through embodied and multimodal reasoning.

I received my Ph.D. in CS in 2024 from Stanford, where I was advised by Chelsea Finn. My thesis was on reinforcement learning algorithms for efficient exploration and adaptation in dynamic environments. I also completed internships at Google Brain and Meta's FAIR team working on reinforcement learning for robotic control.

Email  /  CV  /  Google Scholar

Select Papers
Gemini Robotics: Bringing AI into the Physical World
Gemini Robotics Team
[arxiv] [blog post]
Learning to Explore in POMDPs with Informational Rewards
Annie Xie*, Logan M Bhamidipaty*, Evan Z Liu, Joey Hong, Sergey Levine, Chelsea Finn
International Conference on Machine Learning (ICML), 2024
[arxiv]
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]
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]

website template