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Learning Dense Rewards for Contact-Rich Manipulation Tasks


Nov 17, 2020
Zheng Wu, Wenzhao Lian, Vaibhav Unhelkar, Masayoshi Tomizuka, Stefan Schaal

* 8 pages, 5 figures 

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Expressing Diverse Human Driving Behavior with Probabilistic Rewards and Online Inference


Aug 21, 2020
Liting Sun, Zheng Wu, Hengbo Ma, Masayoshi Tomizuka

* 7 pages, 9 figures, 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 

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Expressing Diverse Human Driving Behavior with ProbabilisticRewards and Online Inference


Aug 20, 2020
Liting Sun, Zheng Wu, Hengbo Ma, Masayoshi Tomizuka

* 7 pages, 9 figures, 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 

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Efficient Sampling-Based Maximum Entropy Inverse Reinforcement Learning with Application to Autonomous Driving


Jun 22, 2020
Zheng Wu, Liting Sun, Wei Zhan, Chenyu Yang, Masayoshi Tomizuka

* Accepted by IEEE Robotics and Automation Letters. June 2020 

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Annotation-Free and One-Shot Learning for Instance Segmentation of Homogeneous Object Clusters


Feb 07, 2018
Zheng Wu, Ruiheng Chang, Jiaxu Ma, Cewu Lu, Chi-Keung Tang

* 7 pages, 8 figures, submission to IJCAI 2018 

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Class Probability Estimation via Differential Geometric Regularization


Feb 11, 2016
Qinxun Bai, Steven Rosenberg, Zheng Wu, Stan Sclaroff


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