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RetinaGAN: An Object-aware Approach to Sim-to-Real Transfer


Nov 06, 2020
Daniel Ho, Kanishka Rao, Zhuo Xu, Eric Jang, Mohi Khansari, Yunfei Bai

* 9 pages; Submitted to the International Conference on Robotics and Automation (ICRA) 2021 

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Meta-Learning Requires Meta-Augmentation


Jul 10, 2020
Janarthanan Rajendran, Alex Irpan, Eric Jang

* 14 pages, 8 figures. Code at https://github.com/google-research/google-research/tree/master/maml_nonexclusive 

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Thinking While Moving: Deep Reinforcement Learning with Concurrent Control


Apr 25, 2020
Ted Xiao, Eric Jang, Dmitry Kalashnikov, Sergey Levine, Julian Ibarz, Karol Hausman, Alexander Herzog

* Published as a conference paper at ICLR 2020 

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Scalable Multi-Task Imitation Learning with Autonomous Improvement


Feb 25, 2020
Avi Singh, Eric Jang, Alexander Irpan, Daniel Kappler, Murtaza Dalal, Sergey Levine, Mohi Khansari, Chelsea Finn

* Accepted to ICRA 2020. Supplementary material at https://sites.google.com/view/scalable-mili 

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Watch, Try, Learn: Meta-Learning from Demonstrations and Reward


Jun 07, 2019
Allan Zhou, Eric Jang, Daniel Kappler, Alex Herzog, Mohi Khansari, Paul Wohlhart, Yunfei Bai, Mrinal Kalakrishnan, Sergey Levine, Chelsea Finn


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QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation


Nov 28, 2018
Dmitry Kalashnikov, Alex Irpan, Peter Pastor, Julian Ibarz, Alexander Herzog, Eric Jang, Deirdre Quillen, Ethan Holly, Mrinal Kalakrishnan, Vincent Vanhoucke, Sergey Levine

* CoRL 2018 camera ready. 23 pages, 14 figures 

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Grasp2Vec: Learning Object Representations from Self-Supervised Grasping


Nov 19, 2018
Eric Jang, Coline Devin, Vincent Vanhoucke, Sergey Levine

* Proceedings of The 2nd Conference on Robot Learning, in PMLR 87:99-112 (2018) 
* CoRL 2018. Eric Jang and Coline Devin contributed equally to this work 

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Generative Ensembles for Robust Anomaly Detection


Oct 24, 2018
Hyunsun Choi, Eric Jang


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Deep Reinforcement Learning for Vision-Based Robotic Grasping: A Simulated Comparative Evaluation of Off-Policy Methods


Mar 28, 2018
Deirdre Quillen, Eric Jang, Ofir Nachum, Chelsea Finn, Julian Ibarz, Sergey Levine

* 8 pages 

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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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Sim2Real View Invariant Visual Servoing by Recurrent Control


Dec 20, 2017
Fereshteh Sadeghi, Alexander Toshev, Eric Jang, Sergey Levine

* Supplementary video: https://fsadeghi.github.io/Sim2RealViewInvariantServo 

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End-to-End Learning of Semantic Grasping


Nov 09, 2017
Eric Jang, Sudheendra Vijayanarasimhan, Peter Pastor, Julian Ibarz, Sergey Levine

* 14 pages 

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Categorical Reparameterization with Gumbel-Softmax


Aug 05, 2017
Eric Jang, Shixiang Gu, Ben Poole


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