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MESA: Offline Meta-RL for Safe Adaptation and Fault Tolerance


Dec 07, 2021
Michael Luo, Ashwin Balakrishna, Brijen Thananjeyan, Suraj Nair, Julian Ibarz, Jie Tan, Chelsea Finn, Ion Stoica, Ken Goldberg

* Workshop on Safe and Robust Control of Uncertain Systems at the 35th Conference on Neural Information Processing Systems (NeurIPS 2021), Online 

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Cross-language Information Retrieval


Nov 10, 2021
Petra Galuščáková, Douglas W. Oard, Suraj Nair

* 45 pages, 0 figures 

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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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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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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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Cross-language Sentence Selection via Data Augmentation and Rationale Training


Jun 04, 2021
Yanda Chen, Chris Kedzie, Suraj Nair, Petra Galuščáková, Rui Zhang, Douglas W. Oard, Kathleen McKeown

* ACL 2021 main conference 

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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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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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Model-Based Visual Planning with Self-Supervised Functional Distances


Dec 30, 2020
Stephen Tian, Suraj Nair, Frederik Ebert, Sudeep Dasari, Benjamin Eysenbach, Chelsea Finn, Sergey Levine


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Recovery RL: Safe Reinforcement Learning with Learned Recovery Zones


Oct 29, 2020
Brijen Thananjeyan, Ashwin Balakrishna, Suraj Nair, Michael Luo, Krishnan Srinivasan, Minho Hwang, Joseph E. Gonzalez, Julian Ibarz, Chelsea Finn, Ken Goldberg

* First two authors contributed equally 

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Batch Exploration with Examples for Scalable Robotic Reinforcement Learning


Oct 22, 2020
Annie S. Chen, HyunJi Nam, Suraj Nair, Chelsea Finn

* 10 Pages, 9 Figures 

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Goal-Aware Prediction: Learning to Model What Matters


Aug 10, 2020
Suraj Nair, Silvio Savarese, Chelsea Finn


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RoboNet: Large-Scale Multi-Robot Learning


Oct 24, 2019
Sudeep Dasari, Frederik Ebert, Stephen Tian, Suraj Nair, Bernadette Bucher, Karl Schmeckpeper, Siddharth Singh, Sergey Levine, Chelsea Finn

* accepted at the Conference on Robot Learning (CoRL) 2019 

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Causal Induction from Visual Observations for Goal Directed Tasks


Oct 03, 2019
Suraj Nair, Yuke Zhu, Silvio Savarese, Li Fei-Fei

* 13 pages, 6 figures 

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Hierarchical Foresight: Self-Supervised Learning of Long-Horizon Tasks via Visual Subgoal Generation


Sep 12, 2019
Suraj Nair, Chelsea Finn

* 16 pages, 9 figures 

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Neural Task Graphs: Generalizing to Unseen Tasks from a Single Video Demonstration


Mar 06, 2019
De-An Huang, Suraj Nair, Danfei Xu, Yuke Zhu, Animesh Garg, Li Fei-Fei, Silvio Savarese, Juan Carlos Niebles

* CVPR 2019 

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Time Reversal as Self-Supervision


Oct 02, 2018
Suraj Nair, Mohammad Babaeizadeh, Chelsea Finn, Sergey Levine, Vikash Kumar

* 7 pages, 10 figures 

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Neural Task Programming: Learning to Generalize Across Hierarchical Tasks


Mar 14, 2018
Danfei Xu, Suraj Nair, Yuke Zhu, Julian Gao, Animesh Garg, Li Fei-Fei, Silvio Savarese

* ICRA 2018 

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