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AW-Opt: Learning Robotic Skills with Imitation and Reinforcement at Scale


Nov 11, 2021
Yao Lu, Karol Hausman, Yevgen Chebotar, Mengyuan Yan, Eric Jang, Alexander Herzog, Ted Xiao, Alex Irpan, Mohi Khansari, Dmitry Kalashnikov, Sergey Levine


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AW-Opt: Learning Robotic Skills with Imitation andReinforcement at Scale


Nov 09, 2021
Yao Lu, Karol Hausman, Yevgen Chebotar, Mengyuan Yan, Eric Jang, Alexander Herzog, Ted Xiao, Alex Irpan, Mohi Khansari, Dmitry Kalashnikov, Sergey Levine


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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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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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Modeling Long-horizon Tasks as Sequential Interaction Landscapes


Jun 08, 2020
Sören Pirk, Karol Hausman, Alexander Toshev, Mohi Khansari

* More details available at: http://www.pirk.io 

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Action Image Representation: Learning Scalable Deep Grasping Policies with Zero Real World Data


May 13, 2020
Mohi Khansari, Daniel Kappler, Jianlan Luo, Jeff Bingham, Mrinal Kalakrishnan

* 7 pages, 10 figures, and 3 tables. To be published in International Conference on Robotics and Automation, 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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Data-Efficient Learning for Sim-to-Real Robotic Grasping using Deep Point Cloud Prediction Networks


Jun 21, 2019
Xinchen Yan, Mohi Khansari, Jasmine Hsu, Yuanzheng Gong, Yunfei Bai, Sören Pirk, Honglak Lee


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Online Object Representations with Contrastive Learning


Jun 10, 2019
Sören Pirk, Mohi Khansari, Yunfei Bai, Corey Lynch, Pierre Sermanet

* 10 pages 

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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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Learning Latent Plans from Play


Mar 05, 2019
Corey Lynch, Mohi Khansari, Ted Xiao, Vikash Kumar, Jonathan Tompson, Sergey Levine, Pierre Sermanet


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Learning 6-DOF Grasping Interaction via Deep Geometry-aware 3D Representations


Jun 15, 2018
Xinchen Yan, Jasmine Hsu, Mohi Khansari, Yunfei Bai, Arkanath Pathak, Abhinav Gupta, James Davidson, Honglak Lee

* Published at ICRA 2018 

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Learning Contracting Vector Fields For Stable Imitation Learning


Apr 13, 2018
Vikas Sindhwani, Stephen Tu, Mohi Khansari


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