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Julian Ibarz

Google Brain

Recovery RL: Safe Reinforcement Learning with Learned Recovery Zones

Oct 29, 2020
Brijen Thananjeyan, Ashwin Balakrishna, Suraj Nair, Michael Luo, Krishnan Srinivasan, Minho Hwang, Joseph E. Gonzalez, Julian Ibarz, Chelsea Finn, Ken Goldberg

* First two authors contributed equally 

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RL-CycleGAN: Reinforcement Learning Aware Simulation-To-Real

Jun 16, 2020
Kanishka Rao, Chris Harris, Alex Irpan, Sergey Levine, Julian Ibarz, Mohi Khansari

* Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2020) 

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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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Off-Policy Evaluation via Off-Policy Classification

Jun 20, 2019
Alex Irpan, Kanishka Rao, Konstantinos Bousmalis, Chris Harris, Julian Ibarz, Sergey Levine

* Accepted to ICML 2019 RL4RealLife workshop 

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Sim-to-Real via Sim-to-Sim: Data-efficient Robotic Grasping via Randomized-to-Canonical Adaptation Networks

Mar 25, 2019
Stephen James, Paul Wohlhart, Mrinal Kalakrishnan, Dmitry Kalashnikov, Alex Irpan, Julian Ibarz, Sergey Levine, Raia Hadsell, Konstantinos Bousmalis

* To be published in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2019) 

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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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Diversity is All You Need: Learning Skills without a Reward Function

Oct 09, 2018
Benjamin Eysenbach, Abhishek Gupta, Julian Ibarz, Sergey Levine

* Videos and code for our experiments are available at: https://sites.google.com/view/diayn 

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Discrete Sequential Prediction of Continuous Actions for Deep RL

Jun 16, 2018
Luke Metz, Julian Ibarz, Navdeep Jaitly, James Davidson


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Guided Attention for Large Scale Scene Text Verification

Apr 23, 2018
Dafang He, Yeqing Li, Alexander Gorban, Derrall Heath, Julian Ibarz, Qian Yu, Daniel Kifer, C. Lee Giles

* 18 pages 

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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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Leave no Trace: Learning to Reset for Safe and Autonomous Reinforcement Learning

Nov 18, 2017
Benjamin Eysenbach, Shixiang Gu, Julian Ibarz, Sergey Levine

* Videos of our experiments are available at: https://sites.google.com/site/mlleavenotrace/ 

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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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Using Simulation and Domain Adaptation to Improve Efficiency of Deep Robotic Grasping

Sep 25, 2017
Konstantinos Bousmalis, Alex Irpan, Paul Wohlhart, Yunfei Bai, Matthew Kelcey, Mrinal Kalakrishnan, Laura Downs, Julian Ibarz, Peter Pastor, Kurt Konolige, Sergey Levine, Vincent Vanhoucke

* 9 pages, 5 figures, 3 tables 

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Attention-based Extraction of Structured Information from Street View Imagery

Aug 20, 2017
Zbigniew Wojna, Alex Gorban, Dar-Shyang Lee, Kevin Murphy, Qian Yu, Yeqing Li, Julian Ibarz

* Updated references, added link to the source code 

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End-to-End Interpretation of the French Street Name Signs Dataset

Feb 13, 2017
Raymond Smith, Chunhui Gu, Dar-Shyang Lee, Huiyi Hu, Ranjith Unnikrishnan, Julian Ibarz, Sacha Arnoud, Sophia Lin

* Computer Vision - ECCV 2016 Workshops Volume 9913 of the series Lecture Notes in Computer Science pp 411-426 
* Presented at the IWRR workshop at ECCV 2016 

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Large Scale Business Discovery from Street Level Imagery

Feb 02, 2016
Qian Yu, Christian Szegedy, Martin C. Stumpe, Liron Yatziv, Vinay Shet, Julian Ibarz, Sacha Arnoud


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Multi-digit Number Recognition from Street View Imagery using Deep Convolutional Neural Networks

Apr 14, 2014
Ian J. Goodfellow, Yaroslav Bulatov, Julian Ibarz, Sacha Arnoud, Vinay Shet


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