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Visuomotor Control in Multi-Object Scenes Using Object-Aware Representations


May 12, 2022
Negin Heravi, Ayzaan Wahid, Corey Lynch, Pete Florence, Travis Armstrong, Jonathan Tompson, Pierre Sermanet, Jeannette Bohg, Debidatta Dwibedi


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Demonstration-Bootstrapped Autonomous Practicing via Multi-Task Reinforcement Learning


Mar 29, 2022
Abhishek Gupta, Corey Lynch, Brandon Kinman, Garrett Peake, Sergey Levine, Karol Hausman

* Interactive website at https://dbap-rl.github.io/ 

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BC-Z: Zero-Shot Task Generalization with Robotic Imitation Learning


Feb 04, 2022
Eric Jang, Alex Irpan, Mohi Khansari, Daniel Kappler, Frederik Ebert, Corey Lynch, Sergey Levine, Chelsea Finn

* Conference on Robot Learning (pp. 991-1002). 2022 Jan 11 
* CoRL 2021, 23 pages 

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Implicit Behavioral Cloning


Sep 01, 2021
Pete Florence, Corey Lynch, Andy Zeng, Oscar Ramirez, Ayzaan Wahid, Laura Downs, Adrian Wong, Johnny Lee, Igor Mordatch, Jonathan Tompson


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Broadly-Exploring, Local-Policy Trees for Long-Horizon Task Planning


Oct 13, 2020
Brian Ichter, Pierre Sermanet, Corey Lynch


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Learning to Play by Imitating Humans


Jun 11, 2020
Rostam Dinyari, Pierre Sermanet, Corey Lynch


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Grounding Language in Play


May 15, 2020
Corey Lynch, Pierre Sermanet


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Relay Policy Learning: Solving Long-Horizon Tasks via Imitation and Reinforcement Learning


Oct 25, 2019
Abhishek Gupta, Vikash Kumar, Corey Lynch, Sergey Levine, Karol Hausman

* Published at CoRL 2019 

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Online Object Representations with Contrastive Learning


Jun 10, 2019
Sören Pirk, Mohi Khansari, Yunfei Bai, Corey Lynch, Pierre Sermanet

* 10 pages 

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Wasserstein Dependency Measure for Representation Learning


Mar 28, 2019
Sherjil Ozair, Corey Lynch, Yoshua Bengio, Aaron van den Oord, Sergey Levine, Pierre Sermanet


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Learning Latent Plans from Play


Mar 05, 2019
Corey Lynch, Mohi Khansari, Ted Xiao, Vikash Kumar, Jonathan Tompson, Sergey Levine, Pierre Sermanet


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Learning Actionable Representations from Visual Observations


Feb 02, 2019
Debidatta Dwibedi, Jonathan Tompson, Corey Lynch, Pierre Sermanet

* This work is accepted in IROS 2018. Project website: https://sites.google.com/view/actionablerepresentations 

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Time-Contrastive Networks: Self-Supervised Learning from Video


Mar 20, 2018
Pierre Sermanet, Corey Lynch, Yevgen Chebotar, Jasmine Hsu, Eric Jang, Stefan Schaal, Sergey Levine


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Images Don't Lie: Transferring Deep Visual Semantic Features to Large-Scale Multimodal Learning to Rank


Nov 20, 2015
Corey Lynch, Kamelia Aryafar, Josh Attenberg

* 9 pages, 6 figures 

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