Chelsea Finn
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
150
Venues
15
Active years
2015–2025
Best venue rank
A*
Where they publish
Papers
150 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | COLING | PERSONA: A Reproducible Testbed for Pluralistic Alignment. | Louis Castricato, Nathan Lile, Rafael Rafailov, Jan-Philipp Frnken, Chelsea Finn |
| 2025 | CVPR | CoT-VLA: Visual Chain-of-Thought Reasoning for Vision-Language-Action Models. | Qingqing Zhao, Yao Lu, Moo Jin Kim, Zipeng Fu, Zhuoyang Zhang, Yecheng Wu, Zhaoshuo Li, Qianli Ma, Song Han, Chelsea Finn, Ankur Handa, Tsung-Yi Lin, Gordon Wetzstein, Ming-Yu Liu, Donglai Xiang |
| 2025 | ICLR | Range, not Independence, Drives Modularity in Biologically Inspired Representations. | Will Dorrell, Kyle Hsu, Luke Hollingsworth, Jin Hwa Lee, Jiajun Wu, Chelsea Finn, Peter E. Latham, Timothy Edward John Behrens, James C. R. Whittington |
| 2025 | ICLR | Grounding by Trying: LLMs with Reinforcement Learning-Enhanced Retrieval. | Sheryl Hsu, Omar Khattab, Chelsea Finn, Archit Sharma |
| 2025 | ICLR | Bidirectional Decoding: Improving Action Chunking via Guided Test-Time Sampling. | Yuejiang Liu, Jubayer Ibn Hamid, Annie Xie, Yoonho Lee, Max Du, Chelsea Finn |
| 2025 | ICML | Hi Robot: Open-Ended Instruction Following with Hierarchical Vision-Language-Action Models. | Lucy Xiaoyang Shi, Brian Ichter, Michael Robert Equi, Liyiming Ke, Karl Pertsch, Quan Vuong, James Tanner, Anna Walling, Haohuan Wang, Niccolo Fusai, Adrian Li-Bell, Danny Driess, Lachy Groom, Sergey Levine, Chelsea Finn |
| 2025 | ICML | Latent Diffusion Planning for Imitation Learning. | Amber Xie, Oleh Rybkin, Dorsa Sadigh, Chelsea Finn |
| 2025 | ICRA | Commonsense Reasoning for Legged Robot Adaptation with Vision-Language Models. | Annie S. Chen, Alec M. Lessing, Andy Tang, Govind Chada, Laura Smith, Sergey Levine, Chelsea Finn |
| 2025 | ICRA | RoboCrowd: Scaling Robot Data Collection Through Crowdsourcing. | Suvir Mirchandani, David D. Yuan, Kaylee Burns, Md Sazzad Islam, Tony Z. Zhao, Chelsea Finn, Dorsa Sadigh |
| 2025 | IROS | Affordance-Guided Reinforcement Learning via Visual Prompting. | Olivia Y. Lee, Annie Xie, Kuan Fang, Karl Pertsch, Chelsea Finn |
| 2025 | IROS | Helpful DoggyBot: Open-World Object Fetching using Legged Robots and Vision-Language Models. | Qi Wu, Zipeng Fu, Xuxin Cheng, Xiaolong Wang, Chelsea Finn |
| 2025 | ICRA | Speedtuning: Speeding Up Policy Execution with Lightweight Reinforcement Learning. | David D. Yuan, Tony Z. Zhao, Kaylee Burns, Chelsea Finn |
| 2024 | ACL | Disentangling Length from Quality in Direct Preference Optimization. | Ryan Park, Rafael Rafailov, Stefano Ermon, Chelsea Finn |
| 2024 | CoRL | What Makes Pre-Trained Visual Representations Successful for Robust Manipulation? | Kaylee Burns, Zach Witzel, Jubayer Ibn Hamid, Tianhe Yu, Chelsea Finn, Karol Hausman |
| 2024 | CoRL | Mobile ALOHA: Learning Bimanual Mobile Manipulation using Low-Cost Whole-Body Teleoperation. | Zipeng Fu, Tony Z. Zhao, Chelsea Finn |
| 2024 | CoRL | HumanPlus: Humanoid Shadowing and Imitation from Humans. | Zipeng Fu, Qingqing Zhao, Qi Wu, Gordon Wetzstein, Chelsea Finn |
| 2024 | CoRL | OpenVLA: An Open-Source Vision-Language-Action Model. | Moo Jin Kim, Karl Pertsch, Siddharth Karamcheti, Ted Xiao, Ashwin Balakrishna, Suraj Nair, Rafael Rafailov, Ethan Paul Foster, Pannag R. Sanketi, Quan Vuong, Thomas Kollar, Benjamin Burchfiel, Russ Tedrake, Dorsa Sadigh, Sergey Levine, Percy Liang, Chelsea Finn |
| 2024 | CoRL | Surgical Robot Transformer (SRT): Imitation Learning for Surgical Tasks. | Ji Woong Kim, Tony Z. Zhao, Samuel Schmidgall, Anton Deguet, Marin Kobilarov, Chelsea Finn, Axel Krieger |
| 2024 | CoRL | Evaluating Real-World Robot Manipulation Policies in Simulation. | Xuanlin Li, Kyle Hsu, Jiayuan Gu, Oier Mees, Karl Pertsch, Homer Rich Walke, Chuyuan Fu, Ishikaa Lunawat, Isabel Sieh, Sean Kirmani, Sergey Levine, Jiajun Wu, Chelsea Finn, Hao Su, Quan Vuong, Ted Xiao |
| 2024 | CoRL | Mobility VLA: Multimodal Instruction Navigation with Long-Context VLMs and Topological Graphs. | Zhuo Xu, Hao-Tien Lewis Chiang, Zipeng Fu, Mithun George Jacob, Tingnan Zhang, Tsang-Wei Edward Lee, Wenhao Yu, Connor Schenck, David Rendleman, Dhruv Shah, Fei Xia, Jasmine Hsu, Jonathan Hoech, Pete Florence, Sean Kirmani, Sumeet Singh, Vikas Sindhwani, Carolina Parada, Chelsea Finn, Peng Xu, Sergey Levine, Jie Tan |
| 2024 | CoRL | Robotic Control via Embodied Chain-of-Thought Reasoning. | Michal Zawalski, William Chen, Karl Pertsch, Oier Mees, Chelsea Finn, Sergey Levine |
| 2024 | CoRL | ALOHA Unleashed: A Simple Recipe for Robot Dexterity. | Tony Z. Zhao, Jonathan Tompson, Danny Driess, Pete Florence, Seyed Kamyar Seyed Ghasemipour, Chelsea Finn, Ayzaan Wahid |
| 2024 | CVPR | PIGEON: Predicting Image Geolocations. | Lukas Haas, Michal Skreta, Silas Alberti, Chelsea Finn |
| 2024 | EMNLP | Calibrating Language Models with Adaptive Temperature Scaling. | Johnathan Xie, Annie S. Chen, Yoonho Lee, Eric Mitchell, Chelsea Finn |
| 2024 | ICLR | Zero-Shot Robotic Manipulation with Pre-Trained Image-Editing Diffusion Models. | Kevin Black, Mitsuhiko Nakamoto, Pranav Atreya, Homer Rich Walke, Chelsea Finn, Aviral Kumar, Sergey Levine |
| 2024 | ICLR | Project and Probe: Sample-Efficient Adaptation by Interpolating Orthogonal Features. | Annie S. Chen, Yoonho Lee, Amrith Setlur, Sergey Levine, Chelsea Finn |
| 2024 | ICLR | RT-Trajectory: Robotic Task Generalization via Hindsight Trajectory Sketches. | Jiayuan Gu, Sean Kirmani, Paul Wohlhart, Yao Lu, Montserrat Gonzalez Arenas, Kanishka Rao, Wenhao Yu, Chuyuan Fu, Keerthana Gopalakrishnan, Zhuo Xu, Priya Sundaresan, Peng Xu, Hao Su, Karol Hausman, Chelsea Finn, Quan Vuong, Ted Xiao |
| 2024 | ICLR | Contrastive Preference Learning: Learning from Human Feedback without Reinforcement Learning. | Joey Hejna, Rafael Rafailov, Harshit Sikchi, Chelsea Finn, Scott Niekum, W. Bradley Knox, Dorsa Sadigh |
| 2024 | ICLR | An Emulator for Fine-tuning Large Language Models using Small Language Models. | Eric Mitchell, Rafael Rafailov, Archit Sharma, Chelsea Finn, Christopher D. Manning |
| 2024 | ICLR | Language Model Detectors Are Easily Optimized Against. | Charlotte Nicks, Eric Mitchell, Rafael Rafailov, Archit Sharma, Christopher D. Manning, Chelsea Finn, Stefano Ermon |
| 2024 | ICLR | Fine-Tuning Language Models for Factuality. | Katherine Tian, Eric Mitchell, Huaxiu Yao, Christopher D. Manning, Chelsea Finn |
| 2024 | ICLR | Self-Guided Masked Autoencoders for Domain-Agnostic Self-Supervised Learning. | Johnathan Xie, Yoonho Lee, Annie S. Chen, Chelsea Finn |
| 2024 | ICLR | Improving Domain Generalization with Domain Relations. | Huaxiu Yao, Xinyu Yang, Xinyi Pan, Shengchao Liu, Pang Wei Koh, Chelsea Finn |
| 2024 | ICLR | Analyzing and Mitigating Object Hallucination in Large Vision-Language Models. | Yiyang Zhou, Chenhang Cui, Jaehong Yoon, Linjun Zhang, Zhun Deng, Chelsea Finn, Mohit Bansal, Huaxiu Yao |
| 2024 | ICML | Tripod: Three Complementary Inductive Biases for Disentangled Representation Learning. | Kyle Hsu, Jubayer Ibn Hamid, Kaylee Burns, Chelsea Finn, Jiajun Wu |
| 2024 | ICML | 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, Chelsea Finn, Sergey Levine, Brian Ichter |
| 2024 | ICML | RLVF: Learning from Verbal Feedback without Overgeneralization. | Moritz Stephan, Alexander Khazatsky, Eric Mitchell, Annie S. Chen, Sheryl Hsu, Archit Sharma, Chelsea Finn |
| 2024 | ICML | Preference Fine-Tuning of LLMs Should Leverage Suboptimal, On-Policy Data. | Fahim Tajwar, Anikait Singh, Archit Sharma, Rafael Rafailov, Jeff Schneider, Tengyang Xie, Stefano Ermon, Chelsea Finn, Aviral Kumar |
| 2024 | ICML | Learning to Explore in POMDPs with Informational Rewards. | Annie Xie, Logan M. Bhamidipaty, Evan Zheran Liu, Joey Hong, Sergey Levine, Chelsea Finn |
| 2024 | ICRA | SERL: A Software Suite for Sample-Efficient Robotic Reinforcement Learning. | Jianlan Luo, Zheyuan Hu, Charles Xu, You Liang Tan, Jacob Berg, Archit Sharma, Stefan Schaal, Chelsea Finn, Abhishek Gupta, Sergey Levine |
| 2024 | ICRA | Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration. | Abby O'Neill, Abdul Rehman, Abhiram Maddukuri, Abhishek Gupta, Abhishek Padalkar, Abraham Lee, Acorn Pooley, Agrim Gupta, Ajay Mandlekar, Ajinkya Jain, Albert Tung, Alex Bewley, Alexander Herzog, Alex Irpan, Alexander Khazatsky, Anant Rai, Anchit Gupta, Andrew E. Wang, Anikait Singh, Animesh Garg, Aniruddha Kembhavi, Annie Xie, Anthony Brohan, Antonin Raffin, Archit Sharma, Arefeh Yavary, Arhan Jain, Ashwin Balakrishna, Ayzaan Wahid, Ben Burgess-Limerick, Beomjoon Kim, Bernhard Schlkopf, Blake Wulfe, Brian Ichter, Cewu Lu, Charles Xu, Charlotte Le, Chelsea Finn, Chen Wang, Chenfeng Xu, Cheng Chi, Chenguang Huang, Christine Chan, Christopher Agia, Chuer Pan, Chuyuan Fu, Coline Devin, Danfei Xu, Daniel Morton, Danny Driess, Daphne Chen, Deepak Pathak, Dhruv Shah, Dieter Bchler, Dinesh Jayaraman, Dmitry Kalashnikov, Dorsa Sadigh, Edward Johns, Ethan Paul Foster, Fangchen Liu, Federico Ceola, Fei Xia, Feiyu Zhao, Freek Stulp, Gaoyue Zhou, Gaurav S. Sukhatme, Gautam Salhotra, Ge Yan, Gilbert Feng, Giulio Schiavi, Glen Berseth, Gregory Kahn, Guanzhi Wang, Hao Su, Haoshu Fang, Haochen Shi, Henghui Bao, Heni Ben Amor, Henrik I. Christensen, Hiroki Furuta, Homer Walke, Hongjie Fang, Huy Ha, Igor Mordatch, Ilija Radosavovic, Isabel Leal, Jacky Liang, Jad Abou-Chakra, Jaehyung Kim, Jaimyn Drake, Jan Peters, Jan Schneider, Jasmine Hsu, Jeannette Bohg, Jeffrey T. Bingham, Jeffrey Wu, Jensen Gao, Jiaheng Hu, Jiajun Wu, Jialin Wu, Jiankai Sun, Jianlan Luo, Jiayuan Gu, Jie Tan, Jihoon Oh, Jimmy Wu, Jingpei Lu, Jingyun Yang, Jitendra Malik, Joo Silvrio, Joey Hejna, Jonathan Booher, Jonathan Tompson, Jonathan Yang, Jordi Salvador, Joseph J. Lim, Junhyek Han, Kaiyuan Wang, Kanishka Rao, Karl Pertsch, Karol Hausman, Keegan Go, Keerthana Gopalakrishnan, Ken Goldberg, Kendra Byrne, Kenneth Oslund, Kento Kawaharazuka, Kevin Black, Kevin Lin, Kevin Zhang, Kiana Ehsani, Kiran Lekkala, Kirsty Ellis, Krishan Rana, Krishnan Srinivasan, Kuan Fang, Kunal Pratap Singh, Kuo-Hao Zeng, Kyle Hatch, Kyle Hsu, Laurent Itti, Lawrence Yunliang Chen, Lerrel Pinto, Li Fei-Fei, Liam Tan, Linxi Jim Fan, Lionel Ott, Lisa Lee, Luca Weihs, Magnum Chen, Marion Lepert, Marius Memmel, Masayoshi Tomizuka, Masha Itkina, Mateo Guaman Castro, Max Spero, Maximilian Du, Michael Ahn, Michael C. Yip, Mingtong Zhang, Mingyu Ding, Minho Heo, Mohan Kumar Srirama, Mohit Sharma, Moo Jin Kim, Naoaki Kanazawa, Nicklas Hansen, Nicolas Heess, Nikhil J. Joshi, Niko Snderhauf, Ning Liu, Norman Di Palo, Nur Muhammad (Mahi) Shafiullah, Oier Mees, Oliver Kroemer, Osbert Bastani, Pannag R. Sanketi, Patrick Tree Miller, Patrick Yin, Paul Wohlhart, Peng Xu, Peter David Fagan, Peter Mitrano, Pierre Sermanet, Pieter Abbeel, Priya Sundaresan, Qiuyu Chen, Quan Vuong, Rafael Rafailov, Ran Tian, Ria Doshi, Roberto Martn-Martn, Rohan Baijal, Rosario Scalise, Rose Hendrix, Roy Lin, Runjia Qian, Ruohan Zhang, Russell Mendonca, Rutav Shah, Ryan Hoque, Ryan Julian, Samuel Bustamante-Gomez, Sean Kirmani, Sergey Levine, Shan Lin, Sherry Moore, Shikhar Bahl, Shivin Dass, Shubham D. Sonawani, Shuran Song, Sichun Xu, Siddhant Haldar, Siddharth Karamcheti, Simeon Adebola, Simon Guist, Soroush Nasiriany, Stefan Schaal, Stefan Welker, Stephen Tian, Subramanian Ramamoorthy, Sudeep Dasari, Suneel Belkhale, Sungjae Park, Suraj Nair, Suvir Mirchandani, Takayuki Osa, Tanmay Gupta, Tatsuya Harada, Tatsuya Matsushima, Ted Xiao, Thomas Kollar, Tianhe Yu, Tianli Ding, Todor Davchev, Tony Z. Zhao, Travis Armstrong, Trevor Darrell, Trinity Chung, Vidhi Jain, Vincent Vanhoucke, Wei Zhan, Wenxuan Zhou, Wolfram Burgard, Xi Chen, Xiaolong Wang, Xinghao Zhu, Xinyang Geng, Xiyuan Liu, Liangwei Xu, Xuanlin Li, Yao Lu, Yecheng Jason Ma, Yejin Kim, Yevgen Chebotar, Yifan Zhou, Yifeng Zhu, Yilin Wu, Ying Xu, Yixuan Wang, Yonatan Bisk, Yoonyoung Cho, Youngwoon Lee, Yuchen Cui, Yue Cao, Yueh-Hua Wu, Yujin Tang, Yuke Zhu, Yunchu Zhang, Yunfan Jiang, Yunshuang Li, Yunzhu Li, Yusuke Iwasawa, Yutaka Matsuo, Zehan Ma, Zhuo Xu, Zichen Jeff Cui, Zichen Zhang, Zipeng Lin |
| 2024 | ICRA | Decomposing the Generalization Gap in Imitation Learning for Visual Robotic Manipulation. | Annie Xie, Lisa Lee, Ted Xiao, Chelsea Finn |
| 2024 | ICRA | Robot Fine-Tuning Made Easy: Pre-Training Rewards and Policies for Autonomous Real-World Reinforcement Learning. | Jingyun Yang, Max Sobol Mark, Brandon Vu, Archit Sharma, Jeannette Bohg, Chelsea Finn |
| 2024 | SIGCSE | A Fast and Accurate Machine Learning Autograder for the Breakout Assignment. | Evan Zheran Liu, David Yuan, Ahmed Ahmed, Elyse Cornwall, Juliette Woodrow, Kaylee Burns, Allen Nie, Emma Brunskill, Chris Piech, Chelsea Finn |
| 2024 | UIST | Clarify: Improving Model Robustness With Natural Language Corrections. | Yoonho Lee, Michelle S. Lam, Helena Vasconcelos, Michael S. Bernstein, Chelsea Finn |
| 2023 | AIES | Self-Destructing Models: Increasing the Costs of Harmful Dual Uses of Foundation Models. | Peter Henderson, Eric Mitchell, Christopher D. Manning, Dan Jurafsky, Chelsea Finn |
| 2023 | CoRL | Q-Transformer: Scalable Offline Reinforcement Learning via Autoregressive Q-Functions. | Yevgen Chebotar, Quan Vuong, Karol Hausman, Fei Xia, Yao Lu, Alex Irpan, Aviral Kumar, Tianhe Yu, Alexander Herzog, Karl Pertsch, Keerthana Gopalakrishnan, Julian Ibarz, Ofir Nachum, Sumedh Anand Sontakke, Grecia Salazar, Huong T. Tran, Jodilyn Peralta, Clayton Tan, Deeksha Manjunath, Jaspiar Singh, Brianna Zitkovich, Tomas Jackson, Kanishka Rao, Chelsea Finn, Sergey Levine |
| 2023 | CoRL | MOTO: Offline Pre-training to Online Fine-tuning for Model-based Robot Learning. | Rafael Rafailov, Kyle Beltran Hatch, Victor Kolev, John D. Martin, Mariano Phielipp, Chelsea Finn |
| 2023 | CoRL | Self-Improving Robots: End-to-End Autonomous Visuomotor Reinforcement Learning. | Archit Sharma, Ahmed M. Ahmed, Rehaan Ahmad, Chelsea Finn |
| 2023 | CoRL | Waypoint-Based Imitation Learning for Robotic Manipulation. | Lucy Xiaoyang Shi, Archit Sharma, Tony Z. Zhao, Chelsea Finn |
| 2023 | CoRL | Open-World Object Manipulation using Pre-Trained Vision-Language Models. | Austin Stone, Ted Xiao, Yao Lu, Keerthana Gopalakrishnan, Kuang-Huei Lee, Quan Vuong, Paul Wohlhart, Sean Kirmani, Brianna Zitkovich, Fei Xia, Chelsea Finn, Karol Hausman |
| 2023 | CoRL | BridgeData V2: A Dataset for Robot Learning at Scale. | Homer Rich Walke, Kevin Black, Tony Z. Zhao, Quan Vuong, Chongyi Zheng, Philippe Hansen-Estruch, Andre Wang He, Vivek Myers, Moo Jin Kim, Max Du, Abraham Lee, Kuan Fang, Chelsea Finn, Sergey Levine |
| 2023 | CoRL | Polybot: Training One Policy Across Robots While Embracing Variability. | Jonathan Heewon Yang, Dorsa Sadigh, Chelsea Finn |
| 2023 | CoRL | Robot Parkour Learning. | Ziwen Zhuang, Zipeng Fu, Jianren Wang, Christopher G. Atkeson, Sren Schwertfeger, Chelsea Finn, Hang Zhao |
| 2023 | CoRL | RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control. | Brianna Zitkovich, Tianhe Yu, Sichun Xu, Peng Xu, Ted Xiao, Fei Xia, Jialin Wu, Paul Wohlhart, Stefan Welker, Ayzaan Wahid, Quan Vuong, Vincent Vanhoucke, Huong T. Tran, Radu Soricut, Anikait Singh, Jaspiar Singh, Pierre Sermanet, Pannag R. Sanketi, Grecia Salazar, Michael S. Ryoo, Krista Reymann, Kanishka Rao, Karl Pertsch, Igor Mordatch, Henryk Michalewski, Yao Lu, Sergey Levine, Lisa Lee, Tsang-Wei Edward Lee, Isabel Leal, Yuheng Kuang, Dmitry Kalashnikov, Ryan Julian, Nikhil J. Joshi, Alex Irpan, Brian Ichter, Jasmine Hsu, Alexander Herzog, Karol Hausman, Keerthana Gopalakrishnan, Chuyuan Fu, Pete Florence, Chelsea Finn, Kumar Avinava Dubey, Danny Driess, Tianli Ding, Krzysztof Marcin Choromanski, Xi Chen, Yevgen Chebotar, Justice Carbajal, Noah Brown, Anthony Brohan, Montserrat Gonzalez Arenas, Kehang Han |
| 2023 | CVPR | NeRF in the Palm of Your Hand: Corrective Augmentation for Robotics via Novel-View Synthesis. | Allan Zhou, Moo Jin Kim, Lirui Wang, Pete Florence, Chelsea Finn |
| 2023 | EMNLP | Meta-Learning Online Adaptation of Language Models. | Nathan Hu, Eric Mitchell, Christopher D. Manning, Chelsea Finn |
| 2023 | EMNLP | Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback. | Katherine Tian, Eric Mitchell, Allan Zhou, Archit Sharma, Rafael Rafailov, Huaxiu Yao, Chelsea Finn, Christopher D. Manning |
| 2023 | ICLR | Surgical Fine-Tuning Improves Adaptation to Distribution Shifts. | Yoonho Lee, Annie S. Chen, Fahim Tajwar, Ananya Kumar, Huaxiu Yao, Percy Liang, Chelsea Finn |
| 2023 | ICLR | Diversify and Disambiguate: Out-of-Distribution Robustness via Disagreement. | Yoonho Lee, Huaxiu Yao, Chelsea Finn |
| 2023 | ICLR | Bitrate-Constrained DRO: Beyond Worst Case Robustness To Unknown Group Shifts. | Amrith Setlur, Don Kurian Dennis, Benjamin Eysenbach, Aditi Raghunathan, Chelsea Finn, Virginia Smith, Sergey Levine |
| 2023 | ICLR | A Control-Centric Benchmark for Video Prediction. | Stephen Tian, Chelsea Finn, Jiajun Wu |
| 2023 | ICML | Simple Embodied Language Learning as a Byproduct of Meta-Reinforcement Learning. | Evan Zheran Liu, Sahaana Suri, Tong Mu, Allan Zhou, Chelsea Finn |
| 2023 | ICML | DetectGPT: Zero-Shot Machine-Generated Text Detection using Probability Curvature. | Eric Mitchell, Yoonho Lee, Alexander Khazatsky, Christopher D. Manning, Chelsea Finn |
| 2023 | ICRA | Train Offline, Test Online: A Real Robot Learning Benchmark. | Gaoyue Zhou, Victoria Dean, Mohan Kumar Srirama, Aravind Rajeswaran, Jyothish Pari, Kyle Hatch, Aryan Jain, Tianhe Yu, Pieter Abbeel, Lerrel Pinto, Chelsea Finn, Abhinav Gupta |
| 2022 | CoRL | Offline Reinforcement Learning at Multiple Frequencies. | Kaylee Burns, Tianhe Yu, Chelsea Finn, Karol Hausman |
| 2022 | CoRL | Do As I Can, Not As I Say: Grounding Language in Robotic Affordances. | Brian Ichter, Anthony Brohan, Yevgen Chebotar, Chelsea Finn, Karol Hausman, Alexander Herzog, Daniel Ho, Julian Ibarz, Alex Irpan, Eric Jang, Ryan Julian, Dmitry Kalashnikov, Sergey Levine, Yao Lu, Carolina Parada, Kanishka Rao, Pierre Sermanet, Alexander Toshev, Vincent Vanhoucke, Fei Xia, Ted Xiao, Peng Xu, Mengyuan Yan, Noah Brown, Michael Ahn, Omar Cortes, Nicolas Sievers, Clayton Tan, Sichun Xu, Diego Reyes, Jarek Rettinghouse, Jornell Quiambao, Peter Pastor, Linda Luu, Kuang-Huei Lee, Yuheng Kuang, Sally Jesmonth, Nikhil J. Joshi, Kyle Jeffrey, Rosario Jauregui Ruano, Jasmine Hsu, Keerthana Gopalakrishnan, Byron David, Andy Zeng, Chuyuan Kelly Fu |
| 2022 | CoRL | R3M: A Universal Visual Representation for Robot Manipulation. | Suraj Nair, Aravind Rajeswaran, Vikash Kumar, Chelsea Finn, Abhinav Gupta |
| 2022 | EMNLP | Enhancing Self-Consistency and Performance of Pre-Trained Language Models through Natural Language Inference. | Eric Mitchell, Joseph J. Noh, Siyan Li, William S. Armstrong, Ananth Agarwal, Patrick Liu, Chelsea Finn, Christopher D. Manning |
| 2022 | ICLR | CoMPS: Continual Meta Policy Search. | Glen Berseth, Zhiwei Zhang, Grace Zhang, Chelsea Finn, Sergey Levine |
| 2022 | ICLR | Vision-Based Manipulators Need to Also See from Their Hands. | Kyle Hsu, Moo Jin Kim, Rafael Rafailov, Jiajun Wu, Chelsea Finn |
| 2022 | ICLR | Fast Model Editing at Scale. | Eric Mitchell, Charles Lin, Antoine Bosselut, Chelsea Finn, Christopher D. Manning |
| 2022 | ICLR | Extending the WILDS Benchmark for Unsupervised Adaptation. | Shiori Sagawa, Pang Wei Koh, Tony Lee, Irena Gao, Sang Michael Xie, Kendrick Shen, Ananya Kumar, Weihua Hu, Michihiro Yasunaga, Henrik Marklund, Sara Beery, Etienne David, Ian Stavness, Wei Guo, Jure Leskovec, Kate Saenko, Tatsunori Hashimoto, Sergey Levine, Chelsea Finn, Percy Liang |
| 2022 | ICLR | Autonomous Reinforcement Learning: Formalism and Benchmarking. | Archit Sharma, Kelvin Xu, Nikhil Sardana, Abhishek Gupta, Karol Hausman, Sergey Levine, Chelsea Finn |
| 2022 | ICLR | Meta-Learning with Fewer Tasks through Task Interpolation. | Huaxiu Yao, Linjun Zhang, Chelsea Finn |
| 2022 | ICLR | Do deep networks transfer invariances across classes? | Allan Zhou, Fahim Tajwar, Alexander Robey, Tom Knowles, George J. Pappas, Hamed Hassani, Chelsea Finn |
| 2022 | ICML | Memory-Based Model Editing at Scale. | Eric Mitchell, Charles Lin, Antoine Bosselut, Christopher D. Manning, Chelsea Finn |
| 2022 | ICML | A State-Distribution Matching Approach to Non-Episodic Reinforcement Learning. | Archit Sharma, Rehaan Ahmad, Chelsea Finn |
| 2022 | ICML | Robust Policy Learning over Multiple Uncertainty Sets. | Annie Xie, Shagun Sodhani, Chelsea Finn, Joelle Pineau, Amy Zhang |
| 2022 | ICML | Improving Out-of-Distribution Robustness via Selective Augmentation. | Huaxiu Yao, Yu Wang, Sai Li, Linjun Zhang, Weixin Liang, James Zou, Chelsea Finn |
| 2022 | ICML | How to Leverage Unlabeled Data in Offline Reinforcement Learning. | Tianhe Yu, Aviral Kumar, Yevgen Chebotar, Karol Hausman, Chelsea Finn, Sergey Levine |
| 2022 | ICML | Correct-N-Contrast: a Contrastive Approach for Improving Robustness to Spurious Correlations. | Michael Zhang, Nimit Sharad Sohoni, Hongyang R. Zhang, Chelsea Finn, Christopher R |
| 2021 | AAAI | Challenges of Acquiring Compositional Inductive Biases via Meta-Learning. | Eric Mitchell, Chelsea Finn, Christopher D. Manning |
| 2021 | CoRL | BC-Z: Zero-Shot Task Generalization with Robotic Imitation Learning. | Eric Jang, Alex Irpan, Mohi Khansari, Daniel Kappler, Frederik Ebert, Corey Lynch, Sergey Levine, Chelsea Finn |
| 2021 | CoRL | Scaling Up Multi-Task Robotic Reinforcement Learning. | Dmitry Kalashnikov, Jake Varley, Yevgen Chebotar, Benjamin Swanson, Rico Jonschkowski, Chelsea Finn, Sergey Levine, Karol Hausman |
| 2021 | CoRL | A Workflow for Offline Model-Free Robotic Reinforcement Learning. | Aviral Kumar, Anikait Singh, Stephen Tian, Chelsea Finn, Sergey Levine |
| 2021 | CoRL | Learning Language-Conditioned Robot Behavior from Offline Data and Crowd-Sourced Annotation. | Suraj Nair, Eric Mitchell, Kevin Chen, Brian Ichter, Silvio Savarese, Chelsea Finn |
| 2021 | CoRL | Example-Driven Model-Based Reinforcement Learning for Solving Long-Horizon Visuomotor Tasks. | Bohan Wu, Suraj Nair, Li Fei-Fei, Chelsea Finn |
| 2021 | CVPR | Greedy Hierarchical Variational Autoencoders for Large-Scale Video Prediction. | Bohan Wu, Suraj Nair, Roberto Martn-Martn, Li Fei-Fei, Chelsea Finn |
| 2021 | ICLR | SMiRL: Surprise Minimizing Reinforcement Learning in Unstable Environments. | Glen Berseth, Daniel Geng, Coline Manon Devin, Nicholas Rhinehart, Chelsea Finn, Dinesh Jayaraman, Sergey Levine |
| 2021 | ICLR | Model-Based Visual Planning with Self-Supervised Functional Distances. | Stephen Tian, Suraj Nair, Frederik Ebert, Sudeep Dasari, Benjamin Eysenbach, Chelsea Finn, Sergey Levine |
| 2021 | ICLR | Meta-learning Symmetries by Reparameterization. | Allan Zhou, Tom Knowles, Chelsea Finn |
| 2021 | ICML | Actionable Models: Unsupervised Offline Reinforcement Learning of Robotic Skills. | Yevgen Chebotar, Karol Hausman, Yao Lu, Ted Xiao, Dmitry Kalashnikov, Jacob Varley, Alex Irpan, Benjamin Eysenbach, Ryan Julian, Chelsea Finn, Sergey Levine |
| 2021 | ICML | Catformer: Designing Stable Transformers via Sensitivity Analysis. | Jared Quincy Davis, Albert Gu, Krzysztof Choromanski, Tri Dao, Christopher R, Chelsea Finn, Percy Liang |
| 2021 | ICML | WILDS: A Benchmark of in-the-Wild Distribution Shifts. | Pang Wei Koh, Shiori Sagawa, Henrik Marklund, Sang Michael Xie, Marvin Zhang, Akshay Balsubramani, Weihua Hu, Michihiro Yasunaga, Richard Lanas Phillips, Irena Gao, Tony Lee, Etienne David, Ian Stavness, Wei Guo, Berton Earnshaw, Imran S. Haque, Sara M. Beery, Jure Leskovec, Anshul Kundaje, Emma Pierson, Sergey Levine, Chelsea Finn, Percy Liang |
| 2021 | ICML | Just Train Twice: Improving Group Robustness without Training Group Information. | Evan Zheran Liu, Behzad Haghgoo, Annie S. Chen, Aditi Raghunathan, Pang Wei Koh, Shiori Sagawa, Percy Liang, Chelsea Finn |
| 2021 | ICML | Decoupling Exploration and Exploitation for Meta-Reinforcement Learning without Sacrifices. | Evan Zheran Liu, Aditi Raghunathan, Percy Liang, Chelsea Finn |
| 2021 | ICML | Offline Meta-Reinforcement Learning with Advantage Weighting. | Eric Mitchell, Rafael Rafailov, Xue Bin Peng, Sergey Levine, Chelsea Finn |
| 2021 | ICML | Deep Reinforcement Learning amidst Continual Structured Non-Stationarity. | Annie Xie, James Harrison, Chelsea Finn |
| 2021 | IROS | Bayesian Meta-Learning for Few-Shot Policy Adaptation Across Robotic Platforms. | Ali Ghadirzadeh, Xi Chen, Petra Poklukar, Chelsea Finn, Mrten Bjrkman, Danica Kragic |
| 2020 | AAAI | Learning to Interactively Learn and Assist. | Mark Woodward, Chelsea Finn, Karol Hausman |
| 2020 | CoRL | Never Stop Learning: The Effectiveness of Fine-Tuning in Robotic Reinforcement Learning. | Ryan Julian, Benjamin Swanson, Gaurav S. Sukhatme, Sergey Levine, Chelsea Finn, Karol Hausman |
| 2020 | CoRL | Reinforcement Learning with Videos: Combining Offline Observations with Interaction. | Karl Schmeckpeper, Oleh Rybkin, Kostas Daniilidis, Sergey Levine, Chelsea Finn |
| 2020 | CoRL | Learning Latent Representations to Influence Multi-Agent Interaction. | Annie Xie, Dylan P. Losey, Ryan Tolsma, Chelsea Finn, Dorsa Sadigh |
| 2020 | CoRL | MELD: Meta-Reinforcement Learning from Images via Latent State Models. | Zihao Zhao, Anusha Nagabandi, Kate Rakelly, Chelsea Finn, Sergey Levine |
| 2020 | ECCV | Learning Predictive Models from Observation and Interaction. | Karl Schmeckpeper, Annie Xie, Oleh Rybkin, Stephen Tian, Kostas Daniilidis, Sergey Levine, Chelsea Finn |
| 2020 | ICLR | Model Based Reinforcement Learning for Atari. | Lukasz Kaiser, Mohammad Babaeizadeh, Piotr Milos, Blazej Osinski, Roy H. Campbell, Konrad Czechowski, Dumitru Erhan, Chelsea Finn, Piotr Kozakowski, Sergey Levine, Afroz Mohiuddin, Ryan Sepassi, George Tucker, Henryk Michalewski |
| 2020 | ICLR | VideoFlow: A Conditional Flow-Based Model for Stochastic Video Generation. | Manoj Kumar, Mohammad Babaeizadeh, Dumitru Erhan, Chelsea Finn, Sergey Levine, Laurent Dinh, Durk Kingma |
| 2020 | ICLR | Hierarchical Foresight: Self-Supervised Learning of Long-Horizon Tasks via Visual Subgoal Generation. | Suraj Nair, Chelsea Finn |
| 2020 | ICLR | Meta-Learning without Memorization. | Mingzhang Yin, George Tucker, Mingyuan Zhou, Sergey Levine, Chelsea Finn |
| 2020 | ICLR | Watch, Try, Learn: Meta-Learning from Demonstrations and Rewards. | Allan Zhou, Eric Jang, Daniel Kappler, Alexander Herzog, Mohi Khansari, Paul Wohlhart, Yunfei Bai, Mrinal Kalakrishnan, Sergey Levine, Chelsea Finn |
| 2020 | ICML | On the Expressivity of Neural Networks for Deep Reinforcement Learning. | Kefan Dong, Yuping Luo, Tianhe Yu, Chelsea Finn, Tengyu Ma |
| 2020 | ICML | Goal-Aware Prediction: Learning to Model What Matters. | Suraj Nair, Silvio Savarese, Chelsea Finn |
| 2020 | ICML | Cautious Adaptation For Reinforcement Learning in Safety-Critical Settings. | Jesse Zhang, Brian Cheung, Chelsea Finn, Sergey Levine, Dinesh Jayaraman |
| 2020 | ICRA | TRASS: Time Reversal as Self-Supervision. | Suraj Nair, Mohammad Babaeizadeh, Chelsea Finn, Sergey Levine, Vikash Kumar |
| 2020 | ICRA | OmniTact: A Multi-Directional High-Resolution Touch Sensor. | Akhil Padmanabha, Frederik Ebert, Stephen Tian, Roberto Calandra, Chelsea Finn, Sergey Levine |
| 2020 | IROS | Rapidly Adaptable Legged Robots via Evolutionary Meta-Learning. | Xingyou Song, Yuxiang Yang, Krzysztof Choromanski, Ken Caluwaerts, Wenbo Gao, Chelsea Finn, Jie Tan |
| 2020 | ICRA | Scalable Multi-Task Imitation Learning with Autonomous Improvement. | Avi Singh, Eric Jang, Alexander Irpan, Daniel Kappler, Murtaza Dalal, Sergey Levine, Mohi Khansari, Chelsea Finn |
| 2019 | CoRL | RoboNet: Large-Scale Multi-Robot Learning. | Sudeep Dasari, Frederik Ebert, Stephen Tian, Suraj Nair, Bernadette Bucher, Karl Schmeckpeper, Siddharth Singh, Sergey Levine, Chelsea Finn |
| 2019 | CoRL | Entity Abstraction in Visual Model-Based Reinforcement Learning. | Rishi Veerapaneni, John D. Co-Reyes, Michael Chang, Michael Janner, Chelsea Finn, Jiajun Wu, Joshua B. Tenenbaum, Sergey Levine |
| 2019 | CoRL | Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement Learning. | Tianhe Yu, Deirdre Quillen, Zhanpeng He, Ryan Julian, Karol Hausman, Chelsea Finn, Sergey Levine |
| 2019 | ICLR | Unsupervised Learning via Meta-Learning. | Kyle Hsu, Sergey Levine, Chelsea Finn |
| 2019 | ICLR | Reasoning About Physical Interactions with Object-Oriented Prediction and Planning. | Michael Janner, Sergey Levine, William T. Freeman, Joshua B. Tenenbaum, Chelsea Finn, Jiajun Wu |
| 2019 | ICLR | Learning to Adapt in Dynamic, Real-World Environments through Meta-Reinforcement Learning. | Anusha Nagabandi, Ignasi Clavera, Simin Liu, Ronald S. Fearing, Pieter Abbeel, Sergey Levine, Chelsea Finn |
| 2019 | ICLR | Deep Online Learning Via Meta-Learning: Continual Adaptation for Model-Based RL. | Anusha Nagabandi, Chelsea Finn, Sergey Levine |
| 2019 | ICML | Online Meta-Learning. | Chelsea Finn, Aravind Rajeswaran, Sham M. Kakade, Sergey Levine |
| 2019 | ICML | Efficient Off-Policy Meta-Reinforcement Learning via Probabilistic Context Variables. | Kate Rakelly, Aurick Zhou, Chelsea Finn, Sergey Levine, Deirdre Quillen |
| 2019 | ICML | Learning a Prior over Intent via Meta-Inverse Reinforcement Learning. | Kelvin Xu, Ellis Ratner, Anca D. Dragan, Sergey Levine, Chelsea Finn |
| 2019 | IROS | One-Shot Composition of Vision-Based Skills from Demonstration. | Tianhe Yu, Pieter Abbeel, Sergey Levine, Chelsea Finn |
| 2019 | ICRA | Manipulation by Feel: Touch-Based Control with Deep Predictive Models. | Stephen Tian, Frederik Ebert, Dinesh Jayaraman, Mayur Mudigonda, Chelsea Finn, Roberto Calandra, Sergey Levine |
| 2018 | CoRL | Robustness via Retrying: Closed-Loop Robotic Manipulation with Self-Supervised Learning. | Frederik Ebert, Sudeep Dasari, Alex X. Lee, Sergey Levine, Chelsea Finn |
| 2018 | CoRL | Few-Shot Goal Inference for Visuomotor Learning and Planning. | Annie Xie, Avi Singh, Sergey Levine, Chelsea Finn |
| 2018 | ICLR | Stochastic Variational Video Prediction. | Mohammad Babaeizadeh, Chelsea Finn, Dumitru Erhan, Roy H. Campbell, Sergey Levine |
| 2018 | ICLR | Meta-Learning and Universality: Deep Representations and Gradient Descent can Approximate any Learning Algorithm. | Chelsea Finn, Sergey Levine |
| 2018 | ICLR | Recasting Gradient-Based Meta-Learning as Hierarchical Bayes. | Erin Grant, Chelsea Finn, Sergey Levine, Trevor Darrell, Thomas L. Griffiths |
| 2018 | ICLR | 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 |
| 2018 | ICML | Universal Planning Networks: Learning Generalizable Representations for Visuomotor Control. | Aravind Srinivas, Allan Jabri, Pieter Abbeel, Sergey Levine, Chelsea Finn |
| 2018 | ICRA | Deep Reinforcement Learning for Vision-Based Robotic Grasping: A Simulated Comparative Evaluation of Off-Policy Methods. | Deirdre Quillen, Eric Jang, Ofir Nachum, Chelsea Finn, Julian Ibarz, Sergey Levine |
| 2017 | CoRL | Self-Supervised Visual Planning with Temporal Skip Connections. | Frederik Ebert, Chelsea Finn, Alex X. Lee, Sergey Levine |
| 2017 | CoRL | One-Shot Visual Imitation Learning via Meta-Learning. | Chelsea Finn, Tianhe Yu, Tianhao Zhang, Pieter Abbeel, Sergey Levine |
| 2017 | ICLR | Generalizing Skills with Semi-Supervised Reinforcement Learning. | Chelsea Finn, Tianhe Yu, Justin Fu, Pieter Abbeel, Sergey Levine |
| 2017 | ICML | Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks. | Chelsea Finn, Pieter Abbeel, Sergey Levine |
| 2017 | ICRA | Deep visual foresight for planning robot motion. | Chelsea Finn, Sergey Levine |
| 2017 | ICRA | Reset-free guided policy search: Efficient deep reinforcement learning with stochastic initial states. | William Montgomery, Anurag Ajay, Chelsea Finn, Pieter Abbeel, Sergey Levine |
| 2016 | ICML | Guided Cost Learning: Deep Inverse Optimal Control via Policy Optimization. | Chelsea Finn, Sergey Levine, Pieter Abbeel |
| 2016 | ICRA | Deep spatial autoencoders for visuomotor learning. | Chelsea Finn, Xin Yu Tan, Yan Duan, Trevor Darrell, Sergey Levine, Pieter Abbeel |
| 2016 | ICRA | Learning deep neural network policies with continuous memory states. | Marvin Zhang, Zoe McCarthy, Chelsea Finn, Sergey Levine, Pieter Abbeel |
| 2016 | WAFR | Adapting Deep Visuomotor Representations with Weak Pairwise Constraints. | Eric Tzeng, Coline Devin, Judy Hoffman, Chelsea Finn, Pieter Abbeel, Sergey Levine, Kate Saenko, Trevor Darrell |
| 2015 | ICRA | Beyond lowest-warping cost action selection in trajectory transfer. | Dylan Hadfield-Menell, Alex X. Lee, Chelsea Finn, Eric Tzeng, Sandy H. Huang, Pieter Abbeel |
| 2015 | IROS | Bridging text spotting and SLAM with junction features. | Hsueh-Cheng Wang, Chelsea Finn, Liam Paull, Michael Kaess, Ruth Rosenholtz, Seth J. Teller, John J. Leonard |