Finn, Chelsea

243 publications

CoRL 2025 $\pi_0.5$: A Vision-Language-Action Model with Open-World Generalization Kevin Black, Noah Brown, James Darpinian, Karan Dhabalia, Danny Driess, Adnan Esmail, Michael Robert Equi, Chelsea Finn, Niccolo Fusai, Manuel Y. Galliker, Dibya Ghosh, Lachy Groom, Karol Hausman, Brian Ichter, Szymon Jakubczak, Tim Jones, Liyiming Ke, Devin LeBlanc, Sergey Levine, Adrian Li-Bell, Mohith Mothukuri, Suraj Nair, Karl Pertsch, Allen Z. Ren, Lucy Xiaoyang Shi, Laura Smith, Jost Tobias Springenberg, Kyle Stachowicz, James Tanner, Quan Vuong, Homer Walke, Anna Walling, Haohuan Wang, Lili Yu, Ury Zhilinsky

FnTML 2025 A Tutorial on Meta-Reinforcement Learning Jacob Beck, Risto Vuorio, Evan Zheran Liu, Zheng Xiong, Luisa M. Zintgraf, Chelsea Finn, Shimon Whiteson

ICLR 2025 Bidirectional Decoding: Improving Action Chunking via Guided Test-Time Sampling Yuejiang Liu, Jubayer Ibn Hamid, Annie Xie, Yoonho Lee, Max Du, Chelsea Finn

CVPR 2025 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

ICLR 2025 Grounding by Trying: LLMs with Reinforcement Learning-Enhanced Retrieval Sheryl Hsu, Omar Khattab, Chelsea Finn, Archit Sharma

ICML 2025 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

ICLRW 2025 Improving Test-Time Search for LLMs with Backtracking Against In-Context Value Verifiers Anikait Singh, Kushal Arora, Sedrick Keh, Jean Mercat, Tatsunori Hashimoto, Chelsea Finn, Aviral Kumar

ICML 2025 Latent Diffusion Planning for Imitation Learning Amber Xie, Oleh Rybkin, Dorsa Sadigh, Chelsea Finn

CoRL 2025 Learning Long-Context Diffusion Policies via Past-Token Prediction Marcel Torne Villasevil, Andy Tang, Yuejiang Liu, Chelsea Finn

ICLRW 2025 Learning Long-Context Robot Policies via Past-Token Prediction Marcel Torne Villasevil, Andy Tang, Yuejiang Liu, Chelsea Finn

NeurIPS 2025 MJ-Bench: Is Your Multimodal Reward Model Really a Good Judge for Text-to-Image Generation? Zhaorun Chen, Zichen Wen, Yichao Du, Yiyang Zhou, Chenhang Cui, Siwei Han, Zhenzhen Weng, Chaoqi Wang, Zhengwei Tong, Leria Huang, Canyu Chen, Haoqin Tu, Qinghao Ye, Zhihong Zhu, Yuqing Zhang, Jiawei Zhou, Zhuokai Zhao, Rafael Rafailov, Chelsea Finn, Huaxiu Yao

NeurIPS 2025 MJ-Video: Benchmarking and Rewarding Video Generation with Fine-Grained Video Preference Haibo Tong, Zhaoyang Wang, Zhaorun Chen, Haonian Ji, Shi Qiu, Siwei Han, Kexin Geng, Zhongkai Xue, Yiyang Zhou, Peng Xia, Mingyu Ding, Rafael Rafailov, Chelsea Finn, Huaxiu Yao

ICLRW 2025 Policy-Agnostic RL: Offline RL and Online RL Fine-Tuning of Any Class and Backbone Max Sobol Mark, Tian Gao, Georgia Gabriela Sampaio, Mohan Kumar Srirama, Archit Sharma, Chelsea Finn, Aviral Kumar

ICLR 2025 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

CoRL 2025 RoboArena: Distributed Real-World Evaluation of Generalist Robot Policies Pranav Atreya, Karl Pertsch, Tony Lee, Moo Jin Kim, Arhan Jain, Artur Kuramshin, Cyrus Neary, Edward S. Hu, Kanav Arora, Kirsty Ellis, Luca Macesanu, Matthew Leonard, Meedeum Cho, Ozgur Aslan, Shivin Dass, Tony Wang, Xingfang Yuan, Abhishek Gupta, Dinesh Jayaraman, Glen Berseth, Kostas Daniilidis, Roberto Martín-Martín, Youngwoon Lee, Percy Liang, Chelsea Finn, Sergey Levine

NeurIPS 2025 SutureBot: A Precision Framework & Benchmark for Autonomous End-to-End Suturing Jesse Haworth, Juo-Tung Chen, Nigel Nelson, Ji Woong Kim, Masoud Moghani, Chelsea Finn, Axel Krieger

NeurIPS 2024 A Critical Evaluation of AI Feedback for Aligning Large Language Models Archit Sharma, Sedrick Keh, Eric Mitchell, Chelsea Finn, Kushal Arora, Thomas Kollar

CoRL 2024 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

ICLRW 2024 Aligning Modalities in Vision Large Language Models via Preference Fine-Tuning Yiyang Zhou, Chenhang Cui, Rafael Rafailov, Chelsea Finn, Huaxiu Yao

ICLR 2024 An Emulator for Fine-Tuning Large Language Models Using Small Language Models Eric Mitchell, Rafael Rafailov, Archit Sharma, Chelsea Finn, Christopher D Manning

ICLR 2024 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

ICLRW 2024 Calibrating Language Models with Adaptive Temperature Scaling Johnathan Xie, Annie S Chen, Yoonho Lee, Eric Mitchell, Chelsea Finn

TMLR 2024 Conservative Prediction via Data-Driven Confidence Minimization Caroline Choi, Fahim Tajwar, Yoonho Lee, Huaxiu Yao, Ananya Kumar, Chelsea Finn

ICLR 2024 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

L4DC 2024 Efficient Imitation Learning with Conservative World Models Victor Kolev, Rafael Rafailov, Kyle Hatch, Jiajun Wu, Chelsea Finn

CoRL 2024 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

ICLR 2024 Fine-Tuning Language Models for Factuality Katherine Tian, Eric Mitchell, Huaxiu Yao, Christopher D Manning, Chelsea Finn

CoRL 2024 HumanPlus: Humanoid Shadowing and Imitation from Humans Zipeng Fu, Qingqing Zhao, Qi Wu, Gordon Wetzstein, Chelsea Finn

ICLR 2024 Improving Domain Generalization with Domain Relations Huaxiu Yao, Xinyu Yang, Xinyi Pan, Shengchao Liu, Pang Wei Koh, Chelsea Finn

ICLR 2024 Language Model Detectors Are Easily Optimized Against Charlotte Nicks, Eric Mitchell, Rafael Rafailov, Archit Sharma, Christopher D Manning, Chelsea Finn, Stefano Ermon

ICML 2024 Learning to Explore in POMDPs with Informational Rewards Annie Xie, Logan Mondal Bhamidipaty, Evan Zheran Liu, Joey Hong, Sergey Levine, Chelsea Finn

ICMLW 2024 MJ-Bench: Is Your Multimodal Reward Model Really a Good Judge? Zhaorun Chen, Yichao Du, Zichen Wen, Yiyang Zhou, Chenhang Cui, Zhenzhen Weng, Haoqin Tu, Chaoqi Wang, Zhengwei Tong, Leria Huang, Canyu Chen, Qinghao Ye, Zhihong Zhu, Yuqing Zhang, Jiawei Zhou, Zhuokai Zhao, Rafael Rafailov, Chelsea Finn, Huaxiu Yao

CoRL 2024 Mobile ALOHA: Learning Bimanual Mobile Manipulation Using Low-Cost Whole-Body Teleoperation Zipeng Fu, Tony Z. Zhao, Chelsea Finn

CoRL 2024 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

ICMLW 2024 Modularity in Biologically Inspired Representations Depends on Task Variable Range Independence Will Dorrell, Kyle Hsu, Luke Hollingsworth, Jin Hwa Lee, Jiajun Wu, Chelsea Finn, Peter E. Latham, Timothy Edward John Behrens, James C. R. Whittington

CoRL 2024 OpenVLA: An Open-Source Vision-Language-Action Model Moo Jin Kim, Karl Pertsch, Siddharth Karamcheti, Ted Xiao, Ashwin Balakrishna, Suraj Nair, Rafael Rafailov, Ethan P Foster, Pannag R Sanketi, Quan Vuong, Thomas Kollar, Benjamin Burchfiel, Russ Tedrake, Dorsa Sadigh, Sergey Levine, Percy Liang, Chelsea Finn

CVPR 2024 PIGEON: Predicting Image Geolocations Lukas Haas, Michal Skreta, Silas Alberti, Chelsea Finn

ICML 2024 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

ICML 2024 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

ICLR 2024 Project and Probe: Sample-Efficient Adaptation by Interpolating Orthogonal Features Annie S Chen, Yoonho Lee, Amrith Setlur, Sergey Levine, Chelsea Finn

ICML 2024 RLVF: Learning from Verbal Feedback Without Overgeneralization Moritz Pascal Stephan, Alexander Khazatsky, Eric Mitchell, Annie S Chen, Sheryl Hsu, Archit Sharma, Chelsea Finn

ICLR 2024 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

CoRL 2024 Robotic Control via Embodied Chain-of-Thought Reasoning Michał Zawalski, William Chen, Karl Pertsch, Oier Mees, Chelsea Finn, Sergey Levine

NeurIPS 2024 Scaling Laws for Reward Model Overoptimization in Direct Alignment Algorithms Rafael Rafailov, Yaswanth Chittepu, Ryan Park, Harshit Sikchi, Joey Hejna, W. Bradley Knox, Chelsea Finn, Scott Niekum

ICMLW 2024 Scaling Laws for Reward Model Overoptimization in Direct Alignment Algorithms Rafael Rafailov, Yaswanth Chittepu, Ryan Park, Harshit Sikchi, Joey Hejna, W. Bradley Knox, Chelsea Finn, Scott Niekum

ICLR 2024 Self-Guided Masked Autoencoders for Domain-Agnostic Self-Supervised Learning Johnathan Wenjia Xie, Yoonho Lee, Annie S Chen, Chelsea Finn

CoRL 2024 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

ICML 2024 Tripod: Three Complementary Inductive Biases for Disentangled Representation Learning Kyle Hsu, Jubayer Ibn Hamid, Kaylee Burns, Chelsea Finn, Jiajun Wu

NeurIPS 2024 Universal Neural Functionals Allan Zhou, Chelsea Finn, James Harrison

CoRL 2024 What Makes Pre-Trained Visual Representations Successful for Robust Manipulation? Kaylee Burns, Zach Witzel, Jubayer Ibn Hamid, Tianhe Yu, Chelsea Finn, Karol Hausman

ICLR 2024 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

ICLR 2023 A Control-Centric Benchmark for Video Prediction Stephen Tian, Chelsea Finn, Jiajun Wu

NeurIPSW 2023 An Emulator for Fine-Tuning Large Language Models Using Small Language Models Eric Mitchell, Rafael Rafailov, Archit Sharma, Chelsea Finn, Christopher Manning

NeurIPSW 2023 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

NeurIPSW 2023 AutoFT: Robust Fine-Tuning by Optimizing Hyperparameters on OOD Data Caroline Choi, Yoonho Lee, Annie S Chen, Allan Zhou, Aditi Raghunathan, Chelsea Finn

ICLR 2023 Bitrate-Constrained DRO: Beyond Worst Case Robustness to Unknown Group Shifts Amrith Setlur, Don Dennis, Benjamin Eysenbach, Aditi Raghunathan, Chelsea Finn, Virginia Smith, Sergey Levine

CoRL 2023 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

NeurIPS 2023 Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online Fine-Tuning Mitsuhiko Nakamoto, Simon Zhai, Anikait Singh, Max Sobol Mark, Yi Ma, Chelsea Finn, Aviral Kumar, Sergey Levine

ICLRW 2023 Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online Fine-Tuning Mitsuhiko Nakamoto, Yuexiang Zhai, Anikait Singh, Yi Ma, Chelsea Finn, Aviral Kumar, Sergey Levine

ICMLW 2023 Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online Fine-Tuning Mitsuhiko Nakamoto, Yuexiang Zhai, Anikait Singh, Max Sobol Mark, Yi Ma, Chelsea Finn, Aviral Kumar, Sergey Levine

NeurIPSW 2023 Confidence-Based Model Selection: When to Take Shortcuts in Spurious Settings Annie S Chen, Yoonho Lee, Amrith Setlur, Sergey Levine, Chelsea Finn

ICLRW 2023 Conservative Prediction via Transductive Confidence Minimization Caroline Choi, Fahim Tajwar, Yoonho Lee, Huaxiu Yao, Ananya Kumar, Chelsea Finn

L4DC 2023 Contrastive Example-Based Control Kyle Beltran Hatch, Benjamin Eysenbach, Rafael Rafailov, Tianhe Yu, Ruslan Salakhutdinov, Sergey Levine, Chelsea Finn

ICML 2023 DetectGPT: Zero-Shot Machine-Generated Text Detection Using Probability Curvature Eric Mitchell, Yoonho Lee, Alexander Khazatsky, Christopher D Manning, Chelsea Finn

NeurIPS 2023 Direct Preference Optimization: Your Language Model Is Secretly a Reward Model Rafael Rafailov, Archit Sharma, Eric Mitchell, Christopher D Manning, Stefano Ermon, Chelsea Finn

ICMLW 2023 Direct Preference Optimization: Your Language Model Is Secretly a Reward Model Rafael Rafailov, Archit Sharma, Eric Mitchell, Stefano Ermon, Christopher D Manning, Chelsea Finn

NeurIPS 2023 Disentanglement via Latent Quantization Kyle Hsu, William Dorrell, James Whittington, Jiajun Wu, Chelsea Finn

ICLR 2023 Diversify and Disambiguate: Out-of-Distribution Robustness via Disagreement Yoonho Lee, Huaxiu Yao, Chelsea Finn

NeurIPSW 2023 Fine-Tuning Language Models for Factuality Katherine Tian, Eric Mitchell, Huaxiu Yao, Christopher Manning, Chelsea Finn

ICMLW 2023 In-Context Decision-Making from Supervised Pretraining Jonathan Lee, Annie Xie, Aldo Pacchiano, Yash Chandak, Chelsea Finn, Ofir Nachum, Emma Brunskill

NeurIPSW 2023 Interactive Model Correction with Natural Language Yoonho Lee, Michelle Lam, Helena Vasconcelos, Michael Bernstein, Chelsea Finn

NeurIPSW 2023 Language Model Detectors Are Easily Optimized Against Charlotte Nicks, Eric Mitchell, Rafael Rafailov, Archit Sharma, Christopher Manning, Chelsea Finn, Stefano Ermon

ICMLW 2023 Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware Tony Z. Zhao, Vikash Kumar, Sergey Levine, Chelsea Finn

CoRL 2023 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

ICLRW 2023 MOTO: Offline to Online Fine-Tuning for Model-Based Reinforcement Learning Rafael Rafailov, Kyle Beltran Hatch, Victor Kolev, John D Martin, Mariano Phielipp, Chelsea Finn

ICLRW 2023 Model-Based Adversarial Imitation Learning as Online Fine-Tuning Rafael Rafailov, Victor Kolev, Kyle Beltran Hatch, John D Martin, Mariano Phielipp, Jiajun Wu, Chelsea Finn

TMLR 2023 Multi-Domain Long-Tailed Learning by Augmenting Disentangled Representations Xinyu Yang, Huaxiu Yao, Allan Zhou, Chelsea Finn

CVPR 2023 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

NeurIPS 2023 Neural Functional Transformers Allan Zhou, Kaien Yang, Yiding Jiang, Kaylee Burns, Winnie Xu, Samuel Sokota, J. Zico Kolter, Chelsea Finn

CoRL 2023 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

NeurIPS 2023 Permutation Equivariant Neural Functionals Allan Zhou, Kaien Yang, Kaylee Burns, Adriano Cardace, Yiding Jiang, Samuel Sokota, J. Zico Kolter, Chelsea Finn

CoRL 2023 Polybot: Training One Policy Across Robots While Embracing Variability Jonathan Heewon Yang, Dorsa Sadigh, Chelsea Finn

ICLRW 2023 Project with Source, Probe with Target: Extracting Useful Features for Adaptation to Distribution Shifts Annie S Chen, Yoonho Lee, Amrith Setlur, Sergey Levine, Chelsea Finn

CoRL 2023 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

CoRL 2023 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 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

NeurIPS 2023 RoboCLIP: One Demonstration Is Enough to Learn Robot Policies Sumedh Sontakke, Jesse Zhang, Séb Arnold, Karl Pertsch, Erdem Bıyık, Dorsa Sadigh, Chelsea Finn, Laurent Itti

CoRL 2023 Robot Parkour Learning Ziwen Zhuang, Zipeng Fu, Jianren Wang, Christopher G. Atkeson, Sören Schwertfeger, Chelsea Finn, Hang Zhao

CoRL 2023 Self-Improving Robots: End-to-End Autonomous Visuomotor Reinforcement Learning Archit Sharma, Ahmed M. Ahmed, Rehaan Ahmad, Chelsea Finn

ICML 2023 Simple Embodied Language Learning as a Byproduct of Meta-Reinforcement Learning Evan Zheran Liu, Sahaana Suri, Tong Mu, Allan Zhou, Chelsea Finn

NeurIPS 2023 Supervised Pretraining Can Learn In-Context Reinforcement Learning Jonathan Lee, Annie Xie, Aldo Pacchiano, Yash Chandak, Chelsea Finn, Ofir Nachum, Emma Brunskill

ICLR 2023 Surgical Fine-Tuning Improves Adaptation to Distribution Shifts Yoonho Lee, Annie S Chen, Fahim Tajwar, Ananya Kumar, Huaxiu Yao, Percy Liang, Chelsea Finn

CoRL 2023 Waypoint-Based Imitation Learning for Robotic Manipulation Lucy Xiaoyang Shi, Archit Sharma, Tony Z. Zhao, Chelsea Finn

NeurIPSW 2023 Zero-Shot Robotic Manipulation with Pre-Trained Image-Editing Diffusion Models Kevin Black, Mitsuhiko Nakamoto, Pranav Atreya, Homer Walke, Chelsea Finn, Aviral Kumar, Sergey Levine

NeurIPSW 2022 A Control-Centric Benchmark for Video Prediction Stephen Tian, Chelsea Finn, Jiajun Wu

ICML 2022 A State-Distribution Matching Approach to Non-Episodic Reinforcement Learning Archit Sharma, Rehaan Ahmad, Chelsea Finn

ICLR 2022 Autonomous Reinforcement Learning: Formalism and Benchmarking Archit Sharma, Kelvin Xu, Nikhil Sardana, Abhishek Gupta, Karol Hausman, Sergey Levine, Chelsea Finn

NeurIPSW 2022 Bitrate-Constrained DRO: Beyond Worst Case Robustness to Unknown Group Shifts Amrith Setlur, Don Dennis, Benjamin Eysenbach, Aditi Raghunathan, Chelsea Finn, Virginia Smith, Sergey Levine

NeurIPS 2022 C-Mixup: Improving Generalization in Regression Huaxiu Yao, Yiping Wang, Linjun Zhang, James Y Zou, Chelsea Finn

ICLR 2022 CoMPS: Continual Meta Policy Search Glen Berseth, Zhiwei Zhang, Grace Zhang, Chelsea Finn, Sergey Levine

NeurIPSW 2022 Contrastive Example-Based Control Kyle Beltran Hatch, Sarthak J Shetty, Benjamin Eysenbach, Tianhe Yu, Rafael Rafailov, Ruslan Salakhutdinov, Sergey Levine, Chelsea Finn

ICML 2022 Correct-N-Contrast: A Contrastive Approach for Improving Robustness to Spurious Correlations Michael Zhang, Nimit S Sohoni, Hongyang R Zhang, Chelsea Finn, Christopher Re

ICMLW 2022 Diversify and Disambiguate: Learning from Underspecified Data Yoonho Lee, Huaxiu Yao, Chelsea Finn

ICLR 2022 Do Deep Networks Transfer Invariances Across Classes? Allan Zhou, Fahim Tajwar, Alexander Robey, Tom Knowles, George J. Pappas, Hamed Hassani, Chelsea Finn

CoRL 2022 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 T 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

ICLR 2022 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

ICLR 2022 Fast Model Editing at Scale Eric Mitchell, Charles Lin, Antoine Bosselut, Chelsea Finn, Christopher D Manning

NeurIPSW 2022 Fine-Tuning Offline Policies with Optimistic Action Selection Max Sobol Mark, Ali Ghadirzadeh, Xi Chen, Chelsea Finn

NeurIPS 2022 Giving Feedback on Interactive Student Programs with Meta-Exploration Evan Liu, Moritz Stephan, Allen Nie, Chris Piech, Emma Brunskill, Chelsea Finn

ICMLW 2022 Giving Feedback on Interactive Student Programs with Meta-Exploration Evan Zheran Liu, Moritz Pascal Stephan, Allen Nie, Christopher J Piech, Emma Brunskill, Chelsea Finn

NeurIPSW 2022 Giving Robots a Hand: Broadening Generalization via Hand-Centric Human Video Demonstrations Moo Jin Kim, Jiajun Wu, Chelsea Finn

ICML 2022 How to Leverage Unlabeled Data in Offline Reinforcement Learning Tianhe Yu, Aviral Kumar, Yevgen Chebotar, Karol Hausman, Chelsea Finn, Sergey Levine

ICML 2022 Improving Out-of-Distribution Robustness via Selective Augmentation Huaxiu Yao, Yu Wang, Sai Li, Linjun Zhang, Weixin Liang, James Zou, Chelsea Finn

NeurIPS 2022 LAPO: Latent-Variable Advantage-Weighted Policy Optimization for Offline Reinforcement Learning Xi Chen, Ali Ghadirzadeh, Tianhe Yu, Jianhao Wang, Alex Yuan Gao, Wenzhe Li, Liang Bin, Chelsea Finn, Chongjie Zhang

NeurIPS 2022 Learning Options via Compression Yiding Jiang, Evan Liu, Benjamin Eysenbach, J. Zico Kolter, Chelsea Finn

CoLLAs 2022 Lifelong Robotic Reinforcement Learning by Retaining Experiences Annie Xie, Chelsea Finn

NeurIPS 2022 MEMO: Test Time Robustness via Adaptation and Augmentation Marvin Zhang, Sergey Levine, Chelsea Finn

ICML 2022 Memory-Based Model Editing at Scale Eric Mitchell, Charles Lin, Antoine Bosselut, Christopher D Manning, Chelsea Finn

ICLR 2022 Meta-Learning with Fewer Tasks Through Task Interpolation Huaxiu Yao, Linjun Zhang, Chelsea Finn

NeurIPSW 2022 Multi-Domain Long-Tailed Learning by Augmenting Disentangled Representations Huaxiu Yao, Xinyu Yang, Allan Zhou, Chelsea Finn

CoRL 2022 Offline Reinforcement Learning at Multiple Frequencies Kaylee Burns, Tianhe Yu, Chelsea Finn, Karol Hausman

ICMLW 2022 Policy Architectures for Compositional Generalization in Control Allan Zhou, Vikash Kumar, Chelsea Finn, Aravind Rajeswaran

NeurIPSW 2022 Policy Architectures for Compositional Generalization in Control Allan Zhou, Vikash Kumar, Chelsea Finn, Aravind Rajeswaran

NeurIPSW 2022 Pre-Training for Robots: Leveraging Diverse Multitask Data via Offline Reinforcement Learning Anikait Singh, Aviral Kumar, Frederik Ebert, Yanlai Yang, Chelsea Finn, Sergey Levine

NeurIPSW 2022 Pre-Training for Robots: Leveraging Diverse Multitask Data via Offline Reinforcement Learning Aviral Kumar, Anikait Singh, Frederik Ebert, Yanlai Yang, Chelsea Finn, Sergey Levine

CoRL 2022 R3M: A Universal Visual Representation for Robot Manipulation Suraj Nair, Aravind Rajeswaran, Vikash Kumar, Chelsea Finn, Abhinav Gupta

NeurIPSW 2022 Recommendation for New Drugs with Limited Prescription Data Zhenbang Wu, Huaxiu Yao, Zhe Su, David Liebovitz, Lucas M Glass, James Zou, Chelsea Finn, Jimeng Sun

NeurIPSW 2022 Relaxing the Kolmogorov Structure Function for Realistic Computational Constraints Yoonho Lee, Chelsea Finn, Stefano Ermon

ICML 2022 Robust Policy Learning over Multiple Uncertainty Sets Annie Xie, Shagun Sodhani, Chelsea Finn, Joelle Pineau, Amy Zhang

ICMLW 2022 Self-Destructing Models: Increasing the Costs of Harmful Dual Uses in Foundation Models Eric Mitchell, Peter Henderson, Christopher D Manning, Dan Jurafsky, Chelsea Finn

NeurIPSW 2022 Surgical Fine-Tuning Improves Adaptation to Distribution Shifts Yoonho Lee, Annie S Chen, Fahim Tajwar, Ananya Kumar, Huaxiu Yao, Percy Liang, Chelsea Finn

NeurIPSW 2022 Train Offline, Test Online: A Real Robot Learning Benchmark Gaoyue Zhou, Victoria Dean, Mohan Kumar Srirama, Aravind Rajeswaran, Jyothish Pari, Kyle Beltran Hatch, Aryan Jain, Tianhe Yu, Pieter Abbeel, Lerrel Pinto, Chelsea Finn, Abhinav Gupta

JMLR 2022 Training and Evaluation of Deep Policies Using Reinforcement Learning and Generative Models Ali Ghadirzadeh, Petra Poklukar, Karol Arndt, Chelsea Finn, Ville Kyrki, Danica Kragic, Mårten Björkman

ICLR 2022 Vision-Based Manipulators Need to Also See from Their Hands Kyle Hsu, Moo Jin Kim, Rafael Rafailov, Jiajun Wu, Chelsea Finn

NeurIPSW 2022 What Makes Certain Pre-Trained Visual Representations Better for Robotic Learning? Kyle Hsu, Tyler Ga Wei Lum, Ruohan Gao, Shixiang Shane Gu, Jiajun Wu, Chelsea Finn

NeurIPS 2022 When to Ask for Help: Proactive Interventions in Autonomous Reinforcement Learning Annie Xie, Fahim Tajwar, Archit Sharma, Chelsea Finn

ICMLW 2022 When to Ask for Help: Proactive Interventions in Autonomous Reinforcement Learning Annie Xie, Fahim Tajwar, Archit Sharma, Chelsea Finn

NeurIPS 2022 Wild-Time: A Benchmark of In-the-Wild Distribution Shift over Time Huaxiu Yao, Caroline Choi, Bochuan Cao, Yoonho Lee, Pang Wei W Koh, Chelsea Finn

ICMLW 2022 Wild-Time: A Benchmark of In-the-Wild Distribution Shift over Time Huaxiu Yao, Caroline Choi, Yoonho Lee, Pang Wei Koh, Chelsea Finn

NeurIPS 2022 You Only Live Once: Single-Life Reinforcement Learning Annie Chen, Archit Sharma, Sergey Levine, Chelsea Finn

ICMLW 2022 You Only Live Once: Single-Life Reinforcement Learning via Learned Reward Shaping Annie S Chen, Archit Sharma, Sergey Levine, Chelsea Finn

CoRL 2021 A Workflow for Offline Model-Free Robotic Reinforcement Learning Aviral Kumar, Anikait Singh, Stephen Tian, Chelsea Finn, Sergey Levine

ICML 2021 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 C Julian, Chelsea Finn, Sergey Levine

NeurIPS 2021 Adaptive Risk Minimization: Learning to Adapt to Domain Shift Marvin Zhang, Henrik Marklund, Nikita Dhawan, Abhishek Gupta, Sergey Levine, Chelsea Finn

NeurIPS 2021 Autonomous Reinforcement Learning via Subgoal Curricula Archit Sharma, Abhishek Gupta, Sergey Levine, Karol Hausman, Chelsea Finn

CoRL 2021 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

NeurIPS 2021 COMBO: Conservative Offline Model-Based Policy Optimization Tianhe Yu, Aviral Kumar, Rafael Rafailov, Aravind Rajeswaran, Sergey Levine, Chelsea Finn

ICML 2021 Catformer: Designing Stable Transformers via Sensitivity Analysis Jared Q Davis, Albert Gu, Krzysztof Choromanski, Tri Dao, Christopher Re, Chelsea Finn, Percy Liang

NeurIPSW 2021 CoMPS: Continual Meta Policy Search Glen Berseth, Zhiwei Zhang, Grace Zhang, Chelsea Finn, Sergey Levine

NeurIPS 2021 Conservative Data Sharing for Multi-Task Offline Reinforcement Learning Tianhe Yu, Aviral Kumar, Yevgen Chebotar, Karol Hausman, Sergey Levine, Chelsea Finn

NeurIPSW 2021 Correct-N-Contrast: A Contrastive Approach for Improving Robustness to Spurious Correlations Michael Zhang, Nimit Sharad Sohoni, Hongyang R. Zhang, Chelsea Finn, Christopher Ré

NeurIPSW 2021 Data Sharing Without Rewards in Multi-Task Offline Reinforcement Learning Tianhe Yu, Aviral Kumar, Yevgen Chebotar, Chelsea Finn, Sergey Levine, Karol Hausman

ICML 2021 Decoupling Exploration and Exploitation for Meta-Reinforcement Learning Without Sacrifices Evan Z Liu, Aditi Raghunathan, Percy Liang, Chelsea Finn

ICML 2021 Deep Reinforcement Learning Amidst Continual Structured Non-Stationarity Annie Xie, James Harrison, Chelsea Finn

NeurIPS 2021 Differentiable Annealed Importance Sampling and the Perils of Gradient Noise Guodong Zhang, Kyle Hsu, Jianing Li, Chelsea Finn, Roger B Grosse

NeurIPSW 2021 Discriminator Augmented Model-Based Reinforcement Learning Behzad Haghgoo, Allan Zhou, Archit Sharma, Chelsea Finn

NeurIPS 2021 Efficiently Identifying Task Groupings for Multi-Task Learning Chris Fifty, Ehsan Amid, Zhe Zhao, Tianhe Yu, Rohan Anil, Chelsea Finn

CoRL 2021 Example-Driven Model-Based Reinforcement Learning for Solving Long-Horizon Visuomotor Tasks Bohan Wu, Suraj Nair, Li Fei-Fei, Chelsea Finn

NeurIPSW 2021 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

ICLRW 2021 Few-Shotlearning with Weak Supervision Ali Ghadirzadeh, Petra Poklukar, Xi Chen, Huaxiu Yao, Hossein Azizpour, Mårten Björkman, Chelsea Finn, Danica Kragic

CVPR 2021 Greedy Hierarchical Variational Autoencoders for Large-Scale Video Prediction Bohan Wu, Suraj Nair, Roberto Martin-Martin, Li Fei-Fei, Chelsea Finn

NeurIPS 2021 Information Is Power: Intrinsic Control via Information Capture Nicholas Rhinehart, Jenny Wang, Glen Berseth, John Co-Reyes, Danijar Hafner, Chelsea Finn, Sergey Levine

ICMLW 2021 Intrinsic Control of Variational Beliefs in Dynamic Partially-Observed Visual Environments Nicholas Rhinehart, Jenny Wang, Glen Berseth, John D Co-Reyes, Danijar Hafner, Chelsea Finn, Sergey Levine

ICML 2021 Just Train Twice: Improving Group Robustness Without Training Group Information Evan Z Liu, Behzad Haghgoo, Annie S Chen, Aditi Raghunathan, Pang Wei Koh, Shiori Sagawa, Percy Liang, Chelsea Finn

CoRL 2021 Learning Language-Conditioned Robot Behavior from Offline Data and Crowd-Sourced Annotation Suraj Nair, Eric Mitchell, Kevin Chen, Brian Ichter, Silvio Savarese, Chelsea Finn

NeurIPSW 2021 MEMO: Test Time Robustness via Adaptation and Augmentation Marvin Mengxin Zhang, Sergey Levine, Chelsea Finn

ICLR 2021 Meta-Learning Symmetries by Reparameterization Allan Zhou, Tom Knowles, Chelsea Finn

NeurIPS 2021 Meta-Learning with an Adaptive Task Scheduler Huaxiu Yao, Yu Wang, Ying Wei, Peilin Zhao, Mehrdad Mahdavi, Defu Lian, Chelsea Finn

ICLR 2021 Model-Based Visual Planning with Self-Supervised Functional Distances Stephen Tian, Suraj Nair, Frederik Ebert, Sudeep Dasari, Benjamin Eysenbach, Chelsea Finn, Sergey Levine

NeurIPS 2021 Noether Networks: Meta-Learning Useful Conserved Quantities Ferran Alet, Dylan Doblar, Allan Zhou, Josh Tenenbaum, Kenji Kawaguchi, Chelsea Finn

ICML 2021 Offline Meta-Reinforcement Learning with Advantage Weighting Eric Mitchell, Rafael Rafailov, Xue Bin Peng, Sergey Levine, Chelsea Finn

L4DC 2021 Offline Reinforcement Learning from Images with Latent Space Models Rafael Rafailov, Tianhe Yu, Aravind Rajeswaran, Chelsea Finn

ICLR 2021 SMiRL: Surprise Minimizing Reinforcement Learning in Unstable Environments Glen Berseth, Daniel Geng, Coline Manon Devin, Nicholas Rhinehart, Chelsea Finn, Dinesh Jayaraman, Sergey Levine

CoRL 2021 Scaling up Multi-Task Robotic Reinforcement Learning Dmitry Kalashnikov, Jake Varley, Yevgen Chebotar, Benjamin Swanson, Rico Jonschkowski, Chelsea Finn, Sergey Levine, Karol Hausman

NeurIPSW 2021 The Reflective Explorer: Online Meta-Exploration from Offline Data in Realistic Robotic Tasks Rafael Rafailov, Varun Kumar Vijay, Tianhe Yu, Avi Singh, Mariano Phielipp, Chelsea Finn

NeurIPS 2021 Visual Adversarial Imitation Learning Using Variational Models Rafael Rafailov, Tianhe Yu, Aravind Rajeswaran, Chelsea Finn

ICMLW 2021 Visual Adversarial Imitation Learning Using Variational Models Rafael Rafailov, Tianhe Yu, Aravind Rajeswaran, Chelsea Finn

ICML 2020 Cautious Adaptation for Reinforcement Learning in Safety-Critical Settings Jesse Zhang, Brian Cheung, Chelsea Finn, Sergey Levine, Dinesh Jayaraman

NeurIPS 2020 Continual Learning of Control Primitives : Skill Discovery via Reset-Games Kelvin Xu, Siddharth Verma, Chelsea Finn, Sergey Levine

NeurIPS 2020 Continuous Meta-Learning Without Tasks James Harrison, Apoorva Sharma, Chelsea Finn, Marco Pavone

ICMLW 2020 Deep Reinforcement Learning Amidst Lifelong Non-Stationarity Annie Xie, James Harrison, Chelsea Finn

ICMLW 2020 Efficient Adaptation for End-to-End Vision-Based Robotic Manipulation Ryan Julian, Benjamin Swanson, Gaurav S. Sukhatme, Sergey Levine, Chelsea Finn, Karol Hausman

ICMLW 2020 Explore Then Execute: Adapting Without Rewards via Factorized Meta-Reinforcement Learning Evan Zheran Liu, Aditi Raghunathan, Percy Liang, Chelsea Finn

ICML 2020 Goal-Aware Prediction: Learning to Model What Matters Suraj Nair, Silvio Savarese, Chelsea Finn

NeurIPS 2020 Gradient Surgery for Multi-Task Learning Tianhe Yu, Saurabh Kumar, Abhishek Gupta, Sergey Levine, Karol Hausman, Chelsea Finn

ICLR 2020 Hierarchical Foresight: Self-Supervised Learning of Long-Horizon Tasks via Visual Subgoal Generation Suraj Nair, Chelsea Finn

CoRL 2020 Learning Latent Representations to Influence Multi-Agent Interaction Annie Xie, Dylan Losey, Ryan Tolsma, Chelsea Finn, Dorsa Sadigh

ECCV 2020 Learning Predictive Models from Observation and Interaction Karl Schmeckpeper, Annie Xie, Oleh Rybkin, Stephen Tian, Kostas Daniilidis, Sergey Levine, Chelsea Finn

AAAI 2020 Learning to Interactively Learn and Assist Mark Woodward, Chelsea Finn, Karol Hausman

NeurIPS 2020 Long-Horizon Visual Planning with Goal-Conditioned Hierarchical Predictors Karl Pertsch, Oleh Rybkin, Frederik Ebert, Shenghao Zhou, Dinesh Jayaraman, Chelsea Finn, Sergey Levine

CoRL 2020 MELD: Meta-Reinforcement Learning from Images via Latent State Models Zihao Zhao, Anusha Nagabandi, Kate Rakelly, Chelsea Finn, Sergey Levine

NeurIPS 2020 MOPO: Model-Based Offline Policy Optimization Tianhe Yu, Garrett Thomas, Lantao Yu, Stefano Ermon, James Y Zou, Sergey Levine, Chelsea Finn, Tengyu Ma

ICLR 2020 Meta-Learning Without Memorization Mingzhang Yin, George Tucker, Mingyuan Zhou, Sergey Levine, Chelsea Finn

ICLR 2020 Model Based Reinforcement Learning for Atari Łukasz Kaiser, Mohammad Babaeizadeh, Piotr Miłos, Błażej Osiński, Roy H Campbell, Konrad Czechowski, Dumitru Erhan, Chelsea Finn, Piotr Kozakowski, Sergey Levine, Afroz Mohiuddin, Ryan Sepassi, George Tucker, Henryk Michalewski

CoRL 2020 Never Stop Learning: The Effectiveness of Fine-Tuning in Robotic Reinforcement Learning Ryan Julian, Benjamin Swanson, Gaurav Sukhatme, Sergey Levine, Chelsea Finn, Karol Hausman

ICML 2020 On the Expressivity of Neural Networks for Deep Reinforcement Learning Kefan Dong, Yuping Luo, Tianhe Yu, Chelsea Finn, Tengyu Ma

NeurIPS 2020 One Solution Is Not All You Need: Few-Shot Extrapolation via Structured MaxEnt RL Saurabh Kumar, Aviral Kumar, Sergey Levine, Chelsea Finn

CoRL 2020 Reinforcement Learning with Videos: Combining Offline Observations with Interaction Karl Schmeckpeper, Oleh Rybkin, Kostas Daniilidis, Sergey Levine, Chelsea Finn

ICLR 2020 Unsupervised Meta-Learning for Reinforcement Learning Abhishek Gupta, Benjamin Eysenbach, Chelsea Finn, Sergey Levine

ICLR 2020 VideoFlow: A Conditional Flow-Based Model for Stochastic Video Generation Manoj Kumar, Mohammad Babaeizadeh, Dumitru Erhan, Chelsea Finn, Sergey Levine, Laurent Dinh, Durk Kingma

ICLR 2020 Watch, Try, Learn: Meta-Learning from Demonstrations and Rewards Allan Zhou, Eric Jang, Daniel Kappler, Alex Herzog, Mohi Khansari, Paul Wohlhart, Yunfei Bai, Mrinal Kalakrishnan, Sergey Levine, Chelsea Finn

NeurIPS 2020 Weakly-Supervised Reinforcement Learning for Controllable Behavior Lisa Lee, Ben Eysenbach, Ruslan Salakhutdinov, Shixiang Gu, Chelsea Finn

ICLR 2019 Reasoning About Physical Interactions with Object-Oriented Prediction and Planning Michael Janner, Sergey Levine, William T. Freeman, Joshua B. Tenenbaum, Chelsea Finn, Jiajun Wu

ICLR 2019 Deep Online Learning via Meta-Learning: Continual Adaptation for Model-Based RL Anusha Nagabandi, Chelsea Finn, Sergey Levine

ICML 2019 Efficient Off-Policy Meta-Reinforcement Learning via Probabilistic Context Variables Kate Rakelly, Aurick Zhou, Chelsea Finn, Sergey Levine, Deirdre Quillen

ICLRW 2019 Efficient Off-Policy Meta-Reinforcement Learning via Probabilistic Context Variables Kate Rakelly, Aurick Zhou, Deirdre Quillen, Chelsea Finn, Sergey Levine

CoRL 2019 Entity Abstraction in Visual Model-Based Reinforcement Learning Rishi Veerapaneni, John D. Co-Reyes, Michael Chang, Michael Janner, Chelsea Finn, Jiajun Wu, Joshua Tenenbaum, Sergey Levine

NeurIPS 2019 Guided Meta-Policy Search Russell Mendonca, Abhishek Gupta, Rosen Kralev, Pieter Abbeel, Sergey Levine, Chelsea Finn

NeurIPS 2019 Language as an Abstraction for Hierarchical Deep Reinforcement Learning YiDing Jiang, Shixiang Gu, Kevin P. Murphy, Chelsea Finn

ICML 2019 Learning a Prior over Intent via Meta-Inverse Reinforcement Learning Kelvin Xu, Ellis Ratner, Anca Dragan, Sergey Levine, Chelsea Finn

ICLR 2019 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

NeurIPS 2019 Meta-Inverse Reinforcement Learning with Probabilistic Context Variables Lantao Yu, Tianhe Yu, Chelsea Finn, Stefano Ermon

NeurIPS 2019 Meta-Learning with Implicit Gradients Aravind Rajeswaran, Chelsea Finn, Sham M. Kakade, Sergey Levine

CoRL 2019 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

ICML 2019 Online Meta-Learning Chelsea Finn, Aravind Rajeswaran, Sham Kakade, Sergey Levine

ICLRW 2019 Online Meta-Learning Chelsea Finn, Aravind Rajeswaran, Sham Kakade, Sergey Levine

CoRL 2019 RoboNet: Large-Scale Multi-Robot Learning Sudeep Dasari, Frederik Ebert, Stephen Tian, Suraj Nair, Bernadette Bucher, Karl Schmeckpeper, Siddharth Singh, Sergey Levine, Chelsea Finn

NeurIPS 2019 Unsupervised Curricula for Visual Meta-Reinforcement Learning Allan Jabri, Kyle Hsu, Abhishek Gupta, Ben Eysenbach, Sergey Levine, Chelsea Finn

ICLR 2019 Unsupervised Learning via Meta-Learning Kyle Hsu, Sergey Levine, Chelsea Finn

CoRL 2018 Few-Shot Goal Inference for Visuomotor Learning and Planning Annie Xie, Avi Singh, Sergey Levine, Chelsea Finn

ICLR 2018 Meta-Learning and Universality: Deep Representations and Gradient Descent Can Approximate Any Learning Algorithm Chelsea Finn, Sergey Levine

NeurIPS 2018 Probabilistic Model-Agnostic Meta-Learning Chelsea Finn, Kelvin Xu, Sergey Levine

ICLR 2018 Recasting Gradient-Based Meta-Learning as Hierarchical Bayes Erin Grant, Chelsea Finn, Sergey Levine, Trevor Darrell, Thomas Griffiths

CoRL 2018 Robustness via Retrying: Closed-Loop Robotic Manipulation with Self-Supervised Learning Frederik Ebert, Sudeep Dasari, Alex X. Lee, Sergey Levine, Chelsea Finn

ICLR 2018 Stochastic Variational Video Prediction Mohammad Babaeizadeh, Chelsea Finn, Dumitru Erhan, Roy H. Campbell, Sergey Levine

ICML 2018 Universal Planning Networks: Learning Generalizable Representations for Visuomotor Control Aravind Srinivas, Allan Jabri, Pieter Abbeel, Sergey Levine, Chelsea Finn

ICLR 2017 Generalizing Skills with Semi-Supervised Reinforcement Learning Chelsea Finn, Tianhe Yu, Justin Fu, Pieter Abbeel, Sergey Levine

ICML 2017 Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn, Pieter Abbeel, Sergey Levine

CoRL 2017 One-Shot Visual Imitation Learning via Meta-Learning Chelsea Finn, Tianhe Yu, Tianhao Zhang, Pieter Abbeel, Sergey Levine

CoRL 2017 Self-Supervised Visual Planning with Temporal Skip Connections Frederik Ebert, Chelsea Finn, Alex X. Lee, Sergey Levine

JMLR 2016 End-to-End Training of Deep Visuomotor Policies Sergey Levine, Chelsea Finn, Trevor Darrell, Pieter Abbeel

ICML 2016 Guided Cost Learning: Deep Inverse Optimal Control via Policy Optimization Chelsea Finn, Sergey Levine, Pieter Abbeel

NeurIPS 2016 Unsupervised Learning for Physical Interaction Through Video Prediction Chelsea Finn, Ian Goodfellow, Sergey Levine

ICLR 2015 Learning Compact Convolutional Neural Networks with Nested Dropout Chelsea Finn, Lisa Anne Hendricks, Trevor Darrell