Get our free extension to see links to code for papers anywhere online!

Chrome logo Add to Chrome

Firefox logo Add to Firefox

Picture for Eric Jang

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 

  Access Paper or Ask Questions

Meta-Learning Requires Meta-Augmentation

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

* 14 pages, 8 figures. Code at 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

Generative Ensembles for Robust Anomaly Detection

Oct 24, 2018
Hyunsun Choi, Eric Jang

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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

  Access Paper or Ask Questions

Sim2Real View Invariant Visual Servoing by Recurrent Control

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

* Supplementary video: 

  Access Paper or Ask Questions

End-to-End Learning of Semantic Grasping

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

* 14 pages 

  Access Paper or Ask Questions

Categorical Reparameterization with Gumbel-Softmax

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

  Access Paper or Ask Questions