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Can Foundation Models Perform Zero-Shot Task Specification For Robot Manipulation?


Apr 23, 2022
Yuchen Cui, Scott Niekum, Abhinav Gupta, Vikash Kumar, Aravind Rajeswaran

* 30 pages with appendix, published as a conference paper at L4DC 2022 

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R3M: A Universal Visual Representation for Robot Manipulation


Mar 23, 2022
Suraj Nair, Aravind Rajeswaran, Vikash Kumar, Chelsea Finn, Abhinav Gupta


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Policy Architectures for Compositional Generalization in Control


Mar 10, 2022
Allan Zhou, Vikash Kumar, Chelsea Finn, Aravind Rajeswaran


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The Unsurprising Effectiveness of Pre-Trained Vision Models for Control


Mar 07, 2022
Simone Parisi, Aravind Rajeswaran, Senthil Purushwalkam, Abhinav Gupta

* First two authors contributed equally 

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CIC: Contrastive Intrinsic Control for Unsupervised Skill Discovery


Feb 01, 2022
Michael Laskin, Hao Liu, Xue Bin Peng, Denis Yarats, Aravind Rajeswaran, Pieter Abbeel

* Project website: https://sites.google.com/view/cicrl/ 

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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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Decision Transformer: Reinforcement Learning via Sequence Modeling


Jun 24, 2021
Lili Chen, Kevin Lu, Aravind Rajeswaran, Kimin Lee, Aditya Grover, Michael Laskin, Pieter Abbeel, Aravind Srinivas, Igor Mordatch

* First two authors contributed equally. Last two authors advised equally 

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Behavioral Priors and Dynamics Models: Improving Performance and Domain Transfer in Offline RL


Jun 18, 2021
Catherine Cang, Aravind Rajeswaran, Pieter Abbeel, Michael Laskin


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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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