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Practical Imitation Learning in the Real World via Task Consistency Loss



Mohi Khansari , Daniel Ho , Yuqing Du , Armando Fuentes , Matthew Bennice , Nicolas Sievers , Sean Kirmani , Yunfei Bai , Eric Jang


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SimGAN: Hybrid Simulator Identification for Domain Adaptation via Adversarial Reinforcement Learning



Yifeng Jiang , Tingnan Zhang , Daniel Ho , Yunfei Bai , C. Karen Liu , Sergey Levine , Jie Tan

* Submitted to ICRA 2021 

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COCOI: Contact-aware Online Context Inference for Generalizable Non-planar Pushing



Zhuo Xu , Wenhao Yu , Alexander Herzog , Wenlong Lu , Chuyuan Fu , Masayoshi Tomizuka , Yunfei Bai , C. Karen Liu , Daniel Ho


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



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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Learning Fast Adaptation with Meta Strategy Optimization



Wenhao Yu , Jie Tan , Yunfei Bai , Erwin Coumans , Sehoon Ha


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Data-Efficient Learning for Sim-to-Real Robotic Grasping using Deep Point Cloud Prediction Networks



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


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Online Object Representations with Contrastive Learning



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



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



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

* Published at ICRA 2018 

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Sim-to-Real: Learning Agile Locomotion For Quadruped Robots



Jie Tan , Tingnan Zhang , Erwin Coumans , Atil Iscen , Yunfei Bai , Danijar Hafner , Steven Bohez , Vincent Vanhoucke

* Accompanying video: https://www.youtube.com/watch?v=lUZUr7jxoqM 

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