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Meta-learning with an Adaptive Task Scheduler


Oct 26, 2021
Huaxiu Yao, Yu Wang, Ying Wei, Peilin Zhao, Mehrdad Mahdavi, Defu Lian, Chelsea Finn

* Accepted by NeurIPS 2021 

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Fast Model Editing at Scale


Oct 21, 2021
Eric Mitchell, Charles Lin, Antoine Bosselut, Chelsea Finn, Christopher D. Manning

* View implementation and additional project info at https://sites.google.com/view/mend-editing 

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MEMO: Test Time Robustness via Adaptation and Augmentation


Oct 18, 2021
Marvin Zhang, Sergey Levine, Chelsea Finn


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Bridge Data: Boosting Generalization of Robotic Skills with Cross-Domain Datasets


Sep 27, 2021
Frederik Ebert, Yanlai Yang, Karl Schmeckpeper, Bernadette Bucher, Georgios Georgakis, Kostas Daniilidis, Chelsea Finn, Sergey Levine


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A Workflow for Offline Model-Free Robotic Reinforcement Learning


Sep 23, 2021
Aviral Kumar, Anikait Singh, Stephen Tian, Chelsea Finn, Sergey Levine

* CoRL 2021. Project Website: https://sites.google.com/view/offline-rl-workflow. First two authors contributed equally 

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Example-Driven Model-Based Reinforcement Learning for Solving Long-Horizon Visuomotor Tasks


Sep 21, 2021
Bohan Wu, Suraj Nair, Li Fei-Fei, Chelsea Finn

* Equal advising and contribution for last two authors 

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Lifelong Robotic Reinforcement Learning by Retaining Experiences


Sep 19, 2021
Annie Xie, Chelsea Finn

* Supplementary website at https://sites.google.com/view/retain-experience/ 

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Conservative Data Sharing for Multi-Task Offline Reinforcement Learning


Sep 16, 2021
Tianhe Yu, Aviral Kumar, Yevgen Chebotar, Karol Hausman, Sergey Levine, Chelsea Finn


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Efficiently Identifying Task Groupings for Multi-Task Learning


Sep 10, 2021
Christopher Fifty, Ehsan Amid, Zhe Zhao, Tianhe Yu, Rohan Anil, Chelsea Finn


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Learning Language-Conditioned Robot Behavior from Offline Data and Crowd-Sourced Annotation


Sep 02, 2021
Suraj Nair, Eric Mitchell, Kevin Chen, Brian Ichter, Silvio Savarese, Chelsea Finn

* 23 Pages, 18 Figures 

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On the Opportunities and Risks of Foundation Models


Aug 18, 2021
Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, Russ Altman, Simran Arora, Sydney von Arx, Michael S. Bernstein, Jeannette Bohg, Antoine Bosselut, Emma Brunskill, Erik Brynjolfsson, Shyamal Buch, Dallas Card, Rodrigo Castellon, Niladri Chatterji, Annie Chen, Kathleen Creel, Jared Quincy Davis, Dora Demszky, Chris Donahue, Moussa Doumbouya, Esin Durmus, Stefano Ermon, John Etchemendy, Kawin Ethayarajh, Li Fei-Fei, Chelsea Finn, Trevor Gale, Lauren Gillespie, Karan Goel, Noah 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 Kohd, Mark Krass, Ranjay Krishna, Rohith Kuditipudi, Ananya Kumar, Faisal Ladhak, Mina Lee, Tony Lee, Jure Leskovec, Isabelle Levent, Xiang Lisa Li, Xuechen Li, Tengyu Ma, Ali Malik, Christopher D. Manning, Suvir Mirchandani, Eric Mitchell, Zanele Munyikwa, Suraj Nair, Avanika Narayan, Deepak Narayanan, Ben Newman, Allen Nie, Juan Carlos Niebles, Hamed Nilforoshan, Julian Nyarko, Giray Ogut, Laurel Orr, Isabel Papadimitriou, Joon Sung Park, Chris Piech, Eva Portelance, Christopher Potts, Aditi Raghunathan, Rob Reich, Hongyu Ren, Frieda Rong, Yusuf Roohani, Camilo Ruiz, Jack Ryan, Christopher Ré, Dorsa Sadigh, Shiori Sagawa, Keshav Santhanam, Andy Shih, Krishnan Srinivasan, Alex Tamkin, Rohan Taori, Armin W. Thomas, Florian Tramèr, Rose E. Wang, William Wang, Bohan Wu, Jiajun Wu, Yuhuai Wu, Sang Michael Xie, Michihiro Yasunaga, Jiaxuan You, Matei Zaharia, Michael Zhang, Tianyi Zhang, Xikun Zhang, Yuhui Zhang, Lucia Zheng, Kaitlyn Zhou, Percy Liang

* Authored by the Center for Research on Foundation Models (CRFM) at the Stanford Institute for Human-Centered Artificial Intelligence (HAI) 

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Bayesian Embeddings for Few-Shot Open World Recognition


Jul 29, 2021
John Willes, James Harrison, Ali Harakeh, Chelsea Finn, Marco Pavone, Steven Waslander


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Persistent Reinforcement Learning via Subgoal Curricula


Jul 27, 2021
Archit Sharma, Abhishek Gupta, Sergey Levine, Karol Hausman, Chelsea Finn


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ProtoTransformer: A Meta-Learning Approach to Providing Student Feedback


Jul 23, 2021
Mike Wu, Noah Goodman, Chris Piech, Chelsea Finn

* 9 pages content; 6 pages supplement 

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Differentiable Annealed Importance Sampling and the Perils of Gradient Noise


Jul 21, 2021
Guodong Zhang, Kyle Hsu, Jianing Li, Chelsea Finn, Roger Grosse

* 22 pages 

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Just Train Twice: Improving Group Robustness without Training Group Information


Jul 19, 2021
Evan Zheran Liu, Behzad Haghgoo, Annie S. Chen, Aditi Raghunathan, Pang Wei Koh, Shiori Sagawa, Percy Liang, Chelsea Finn

* International Conference on Machine Learning (ICML), 2021 

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Visual Adversarial Imitation Learning using Variational Models


Jul 16, 2021
Rafael Rafailov, Tianhe Yu, Aravind Rajeswaran, Chelsea Finn


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FitVid: Overfitting in Pixel-Level Video Prediction


Jun 24, 2021
Mohammad Babaeizadeh, Mohammad Taghi Saffar, Suraj Nair, Sergey Levine, Chelsea Finn, Dumitru Erhan


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Meta-Learning with Fewer Tasks through Task Interpolation


Jun 04, 2021
Huaxiu Yao, Linjun Zhang, Chelsea Finn


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Actionable Models: Unsupervised Offline Reinforcement Learning of Robotic Skills


Apr 28, 2021
Yevgen Chebotar, Karol Hausman, Yao Lu, Ted Xiao, Dmitry Kalashnikov, Jake Varley, Alex Irpan, Benjamin Eysenbach, Ryan Julian, Chelsea Finn, Sergey Levine


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MT-Opt: Continuous Multi-Task Robotic Reinforcement Learning at Scale


Apr 27, 2021
Dmitry Kalashnikov, Jacob Varley, Yevgen Chebotar, Benjamin Swanson, Rico Jonschkowski, Chelsea Finn, Sergey Levine, Karol Hausman


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Learning Generalizable Robotic Reward Functions from "In-The-Wild" Human Videos


Mar 31, 2021
Annie S. Chen, Suraj Nair, Chelsea Finn

* https://sites.google.com/view/dvd-human-videos 

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Discriminator Augmented Model-Based Reinforcement Learning


Mar 30, 2021
Behzad Haghgoo, Allan Zhou, Archit Sharma, Chelsea Finn


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Greedy Hierarchical Variational Autoencoders for Large-Scale Video Prediction


Mar 26, 2021
Bohan Wu, Suraj Nair, Roberto Martin-Martin, Li Fei-Fei, Chelsea Finn

* Equal advising and contribution for last two authors 

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Bayesian Meta-Learning for Few-Shot Policy Adaptation Across Robotic Platforms


Mar 05, 2021
Ali Ghadirzadeh, Xi Chen, Petra Poklukar, Chelsea Finn, Mårten Björkman, Danica Kragic


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COMBO: Conservative Offline Model-Based Policy Optimization


Feb 16, 2021
Tianhe Yu, Aviral Kumar, Rafael Rafailov, Aravind Rajeswaran, Sergey Levine, Chelsea Finn


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