Annie Xie

Intern, Google

PhD student, Stanford University

Joined

February 2018

Names

Annie Xie

Emails

****@berkeley.edu (Confirmed)

****@stanford.edu (Confirmed)

****@fb.com (Confirmed)

****@google.com (Confirmed)

Personal Links

Homepage

DBLP

Career & Education History

Intern

Google (google.com)

2022 – Present

PhD student

Stanford University (stanford.edu)

2019 – Present

Research Intern

Facebook (fb.com)

2021 – 2022

Undergrad student

University of California, Berkeley (berkeley.edu)

2015 – 2019

Advisors, Relations & Conflicts

PhD Advisor

Chelsea Finn

2019 – Present

Expertise

No areas of expertise listed

Publications

Actions Speak Louder Than States: Going Beyond Bayesian Inference in In-Context Reinforcement Learning
Bilgehan Sel, Annie Xie, Jonathan Lee, Ming Jin
- Submitted to ICLR 2025
- Readers: Everyone
Bidirectional Decoding: Improving Action Chunking via Guided Test-Time Sampling
Yuejiang Liu, Jubayer Ibn Hamid, Annie Xie, Yoonho Lee, Max Du, Chelsea Finn
- ICLR 2025 Poster
- Readers: Everyone
Efficient Data Collection for Robotic Manipulation via Compositional Generalization
Jensen Gao, Annie Xie, Ted Xiao, Chelsea Finn, Dorsa Sadigh
- DGR@RSS2024 Poster
- Readers: Everyone
DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset
Alexander Khazatsky, Karl Pertsch, Suraj Nair, Ashwin Balakrishna, Sudeep Dasari, Siddharth Karamcheti, Soroush Nasiriany, Mohan Kumar Srirama, Lawrence Yunliang Chen, Kirsty Ellis, Peter David Fagan, Joey Hejna, Masha Itkina, Marion Lepert, Yecheng Jason Ma, Patrick Tree Miller, Jimmy Wu, Suneel Belkhale, Shivin Dass, Huy Ha et al. (78 additional authors not shown)
- DGR@RSS2024 Poster
- Readers: Everyone
PIVOT: Iterative Visual Prompting Elicits Actionable Knowledge for VLMs
Soroush Nasiriany, Fei Xia, Wenhao Yu, Ted Xiao, Jacky Liang, Ishita Dasgupta, Annie Xie, Danny Driess, Ayzaan Wahid, Zhuo Xu, Quan Vuong, Tingnan Zhang, Tsang-Wei Edward Lee, Kuang-Huei Lee, Peng Xu, Sean Kirmani, Yuke Zhu, Andy Zeng, Karol Hausman, Nicolas Heess et al. (3 additional authors not shown)
- VLMNM 2024
- Readers: Everyone
PIVOT: Iterative Visual Prompting Elicits Actionable Knowledge for VLMs
Soroush Nasiriany, Fei Xia, Wenhao Yu, Ted Xiao, Jacky Liang, Ishita Dasgupta, Annie Xie, Danny Driess, Ayzaan Wahid, Zhuo Xu, Quan Vuong, Tingnan Zhang, Tsang-Wei Edward Lee, Kuang-Huei Lee, Peng Xu, Sean Kirmani, Yuke Zhu, Andy Zeng, Karol Hausman, Nicolas Heess et al. (3 additional authors not shown)
- ICML 2024 Poster
- Readers: Everyone
Learning to Explore in POMDPs with Informational Rewards
Annie Xie, Logan Mondal Bhamidipaty, Evan Zheran Liu, Joey Hong, Sergey Levine, Chelsea Finn
- ICML 2024 Poster
- Readers: Everyone
In-Context Decision-Making from Supervised Pretraining
Jonathan Lee, Annie Xie, Aldo Pacchiano, Yash Chandak, Chelsea Finn, Ofir Nachum, Emma Brunskill
- Frontiers4LCD
- Readers: Everyone
Supervised Pretraining Can Learn In-Context Reinforcement Learning
Jonathan Lee, Annie Xie, Aldo Pacchiano, Yash Chandak, Chelsea Finn, Ofir Nachum, Emma Brunskill
- NeurIPS 2023 spotlight
- Readers: Everyone
Learning Predictive Models From Observation and Interaction
Karl Schmeckpeper, Annie Xie, Oleh Rybkin, Stephen Tian, Kostas Daniilidis, Sergey Levine, Chelsea Finn
- 17 Nov 2022
- OpenReview Archive Direct Upload
- Readers: Everyone

View all 36 publications

Co-Authors

View all 133 co-authors