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Human-to-Robot Imitation in the Wild


Jul 19, 2022
Shikhar Bahl, Abhinav Gupta, Deepak Pathak

* Published at RSS 2022. Demos at https://human2robot.github.io 

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RB2: Robotic Manipulation Benchmarking with a Twist


Mar 15, 2022
Sudeep Dasari, Jianren Wang, Joyce Hong, Shikhar Bahl, Yixin Lin, Austin Wang, Abitha Thankaraj, Karanbir Chahal, Berk Calli, Saurabh Gupta, David Held, Lerrel Pinto, Deepak Pathak, Vikash Kumar, Abhinav Gupta

* accepted at the NeurIPS 2021 Datasets and Benchmarks Track 

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Hierarchical Neural Dynamic Policies


Jul 12, 2021
Shikhar Bahl, Abhinav Gupta, Deepak Pathak

* Accepted at RSS 2021. Videos and code at https://shikharbahl.github.io/hierarchical-ndps/ 

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Neural Dynamic Policies for End-to-End Sensorimotor Learning


Dec 04, 2020
Shikhar Bahl, Mustafa Mukadam, Abhinav Gupta, Deepak Pathak

* NeurIPS 2020 (Spotlight). Code and videos at https://shikharbahl.github.io/neural-dynamic-policies/ 

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Contextual Imagined Goals for Self-Supervised Robotic Learning


Oct 23, 2019
Ashvin Nair, Shikhar Bahl, Alexander Khazatsky, Vitchyr Pong, Glen Berseth, Sergey Levine

* 12 pages, to be presented at Conference on Robot Learning (CoRL) 2019. Project website: https://ccrig.github.io/ 

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Deep Reinforcement Learning for Industrial Insertion Tasks with Visual Inputs and Natural Rewards


Jun 13, 2019
Gerrit Schoettler, Ashvin Nair, Jianlan Luo, Shikhar Bahl, Juan Aparicio Ojea, Eugen Solowjow, Sergey Levine


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Skew-Fit: State-Covering Self-Supervised Reinforcement Learning


Mar 08, 2019
Vitchyr H. Pong, Murtaza Dalal, Steven Lin, Ashvin Nair, Shikhar Bahl, Sergey Levine

* 9.5 pages, 8 figures 

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Residual Reinforcement Learning for Robot Control


Dec 18, 2018
Tobias Johannink, Shikhar Bahl, Ashvin Nair, Jianlan Luo, Avinash Kumar, Matthias Loskyll, Juan Aparicio Ojea, Eugen Solowjow, Sergey Levine

* 7 pages 

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Visual Reinforcement Learning with Imagined Goals


Dec 04, 2018
Ashvin Nair, Vitchyr Pong, Murtaza Dalal, Shikhar Bahl, Steven Lin, Sergey Levine

* 15 pages, NeurIPS 2018 

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