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Annie S. Chen
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Journal Articles
- 2021
- [j1]Annie S. Chen, HyunJi Nam, Suraj Nair
, Chelsea Finn
:
Batch Exploration With Examples for Scalable Robotic Reinforcement Learning. IEEE Robotics Autom. Lett. 6(3): 4401-4408 (2021)
Conference and Workshop Papers
- 2025
- [c10]Kaustubh Mani, Vincent Mai, Charlie Gauthier, Annie S. Chen, Samer B. Nashed, Liam Paull:
Safety Representations for Safer Policy Learning. ICLR 2025 - 2024
- [c9]Johnathan Xie, Annie S. Chen, Yoonho Lee, Eric Mitchell, Chelsea Finn:
Calibrating Language Models with Adaptive Temperature Scaling. EMNLP 2024: 18128-18138 - [c8]Annie S. Chen, Yoonho Lee, Amrith Setlur, Sergey Levine, Chelsea Finn:
Project and Probe: Sample-Efficient Adaptation by Interpolating Orthogonal Features. ICLR 2024 - [c7]Johnathan Xie, Yoonho Lee, Annie S. Chen, Chelsea Finn:
Self-Guided Masked Autoencoders for Domain-Agnostic Self-Supervised Learning. ICLR 2024 - [c6]Moritz Stephan, Alexander Khazatsky, Eric Mitchell, Annie S. Chen, Sheryl Hsu, Archit Sharma, Chelsea Finn:
RLVF: Learning from Verbal Feedback without Overgeneralization. ICML 2024 - 2023
- [c5]Yoonho Lee, Annie S. Chen, Fahim Tajwar, Ananya Kumar, Huaxiu Yao, Percy Liang, Chelsea Finn:
Surgical Fine-Tuning Improves Adaptation to Distribution Shifts. ICLR 2023 - [c4]Siddharth Karamcheti, Suraj Nair, Annie S. Chen, Thomas Kollar, Chelsea Finn, Dorsa Sadigh, Percy Liang:
Language-Driven Representation Learning for Robotics. Robotics: Science and Systems 2023 - 2022
- [c3]Annie S. Chen, Archit Sharma, Sergey Levine, Chelsea Finn:
You Only Live Once: Single-Life Reinforcement Learning. NeurIPS 2022 - 2021
- [c2]Evan Zheran Liu, Behzad Haghgoo, Annie S. Chen, Aditi Raghunathan, Pang Wei Koh, Shiori Sagawa, Percy Liang, Chelsea Finn:
Just Train Twice: Improving Group Robustness without Training Group Information. ICML 2021: 6781-6792 - [c1]Annie S. Chen, Suraj Nair, Chelsea Finn:
Learning Generalizable Robotic Reward Functions from "In-The-Wild" Human Videos. Robotics: Science and Systems 2021
Informal and Other Publications
- 2025
- [i19]Kaustubh Mani, Vincent Mai, Charlie Gauthier, Annie S. Chen, Samer B. Nashed, Liam Paull:
Safety Representations for Safer Policy Learning. CoRR abs/2502.20341 (2025) - [i18]Annie S. Chen, Alec M. Lessing, Yuejiang Liu, Chelsea Finn:
Curating Demonstrations using Online Experience. CoRR abs/2503.03707 (2025) - [i17]Perry Dong, Alec M. Lessing, Annie S. Chen, Chelsea Finn:
Reinforcement Learning via Implicit Imitation Guidance. CoRR abs/2506.07505 (2025) - [i16]Annie S. Chen, Philemon Brakel, Antonia Bronars, Annie Xie, Sandy H. Huang, Oliver Groth, Maria Bauzá, Markus Wulfmeier, Nicolas Heess, Dushyant Rao:
Exploiting Policy Idling for Dexterous Manipulation. CoRR abs/2508.15669 (2025) - 2024
- [i15]Caroline Choi, Yoonho Lee, Annie S. Chen, Allan Zhou, Aditi Raghunathan, Chelsea Finn:
AutoFT: Robust Fine-Tuning by Optimizing Hyperparameters on OOD Data. CoRR abs/2401.10220 (2024) - [i14]Moritz Stephan, Alexander Khazatsky, Eric Mitchell, Annie S. Chen, Sheryl Hsu, Archit Sharma, Chelsea Finn:
RLVF: Learning from Verbal Feedback without Overgeneralization. CoRR abs/2402.10893 (2024) - [i13]Johnathan Xie, Yoonho Lee, Annie S. Chen, Chelsea Finn:
Self-Guided Masked Autoencoders for Domain-Agnostic Self-Supervised Learning. CoRR abs/2402.14789 (2024) - [i12]Annie S. Chen, Alec M. Lessing, Andy Tang, Govind Chada, Laura M. Smith, Sergey Levine, Chelsea Finn:
Commonsense Reasoning for Legged Robot Adaptation with Vision-Language Models. CoRR abs/2407.02666 (2024) - [i11]Johnathan Xie, Annie S. Chen, Yoonho Lee, Eric Mitchell, Chelsea Finn:
Calibrating Language Models with Adaptive Temperature Scaling. CoRR abs/2409.19817 (2024) - 2023
- [i10]Annie S. Chen, Yoonho Lee, Amrith Setlur, Sergey Levine, Chelsea Finn:
Project and Probe: Sample-Efficient Domain Adaptation by Interpolating Orthogonal Features. CoRR abs/2302.05441 (2023) - [i9]Siddharth Karamcheti, Suraj Nair, Annie S. Chen, Thomas Kollar, Chelsea Finn, Dorsa Sadigh, Percy Liang:
Language-Driven Representation Learning for Robotics. CoRR abs/2302.12766 (2023) - [i8]Annie S. Chen, Yoonho Lee, Amrith Setlur, Sergey Levine, Chelsea Finn:
Confidence-Based Model Selection: When to Take Shortcuts for Subpopulation Shifts. CoRR abs/2306.11120 (2023) - [i7]Annie S. Chen, Govind Chada, Laura M. Smith, Archit Sharma, Zipeng Fu, Sergey Levine, Chelsea Finn:
Adapt On-the-Go: Behavior Modulation for Single-Life Robot Deployment. CoRR abs/2311.01059 (2023) - 2022
- [i6]Annie S. Chen, Archit Sharma, Sergey Levine, Chelsea Finn:
You Only Live Once: Single-Life Reinforcement Learning. CoRR abs/2210.08863 (2022) - [i5]Yoonho Lee, Annie S. Chen, Fahim Tajwar, Ananya Kumar, Huaxiu Yao, Percy Liang, Chelsea Finn:
Surgical Fine-Tuning Improves Adaptation to Distribution Shifts. CoRR abs/2210.11466 (2022) - 2021
- [i4]Annie S. Chen, Suraj Nair, Chelsea Finn:
Learning Generalizable Robotic Reward Functions from "In-The-Wild" Human Videos. CoRR abs/2103.16817 (2021) - [i3]Evan Zheran Liu, Behzad Haghgoo, Annie S. Chen, Aditi Raghunathan, Pang Wei Koh, Shiori Sagawa, Percy Liang, Chelsea Finn:
Just Train Twice: Improving Group Robustness without Training Group Information. CoRR abs/2107.09044 (2021) - [i2]Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, Russ B. Altman, Simran Arora, Sydney von Arx, Michael S. Bernstein, Jeannette Bohg, Antoine Bosselut, Emma Brunskill, Erik Brynjolfsson, Shyamal Buch, Dallas Card, Rodrigo Castellon, Niladri S. Chatterji, Annie S. Chen, Kathleen Creel, Jared Quincy Davis, Dorottya Demszky, Chris Donahue, Moussa Doumbouya, Esin Durmus, Stefano Ermon, John Etchemendy, Kawin Ethayarajh, Li Fei-Fei, Chelsea Finn, Trevor Gale, Lauren E. Gillespie, Karan Goel, Noah D. Goodman, Shelby Grossman, Neel Guha, Tatsunori Hashimoto, Peter Henderson, John Hewitt, Daniel E. Ho, Jenny Hong, Kyle Hsu, Jing Huang, Thomas Icard, Saahil Jain, Dan Jurafsky, Pratyusha Kalluri, Siddharth Karamcheti, Geoff Keeling, Fereshte Khani, Omar Khattab, Pang Wei Koh, Mark S. Krass, Ranjay Krishna, Rohith Kuditipudi, et al.:
On the Opportunities and Risks of Foundation Models. CoRR abs/2108.07258 (2021) - 2020
- [i1]Annie S. Chen, HyunJi Nam, Suraj Nair, Chelsea Finn:
Batch Exploration with Examples for Scalable Robotic Reinforcement Learning. CoRR abs/2010.11917 (2020)
Coauthor Index

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