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Reinforcement learning with Demonstrations from Mismatched Task under Sparse Reward


Dec 03, 2022
Yanjiang Guo, Jingyue Gao, Zheng Wu, Chengming Shi, Jianyu Chen

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* 11 pages, 5 figures, CoRL 2022 

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Prim-LAfD: A Framework to Learn and Adapt Primitive-Based Skills from Demonstrations for Insertion Tasks


Dec 02, 2022
Zheng Wu, Wenzhao Lian, Changhao Wang, Mengxi Li, Stefan Schaal, Masayoshi Tomizuka

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* 6 pages, 4 figures 

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Zero-Shot Policy Transfer with Disentangled Task Representation of Meta-Reinforcement Learning


Oct 01, 2022
Zheng Wu, Yichen Xie, Wenzhao Lian, Changhao Wang, Yanjiang Guo, Jianyu Chen, Stefan Schaal, Masayoshi Tomizuka

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* 7 pages, 9 figures 

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ILASR: Privacy-Preserving Incremental Learning for Automatic Speech Recognition at Production Scale


Jul 22, 2022
Gopinath Chennupati, Milind Rao, Gurpreet Chadha, Aaron Eakin, Anirudh Raju, Gautam Tiwari, Anit Kumar Sahu, Ariya Rastrow, Jasha Droppo, Andy Oberlin, Buddha Nandanoor, Prahalad Venkataramanan, Zheng Wu, Pankaj Sitpure

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* 9 pages 

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ILASR: Privacy-Preserving Incremental Learning for AutomaticSpeech Recognition at Production Scale


Jul 19, 2022
Gopinath Chennupati, Milind Rao, Gurpreet Chadha, Aaron Eakin, Anirudh Raju, Gautam Tiwari, Anit Kumar Sahu, Ariya Rastrow, Jasha Droppo, Andy Oberlin, Buddha Nandanoor, Prahalad Venkataramanan, Zheng Wu, Pankaj Sitpure

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* 9 pages 

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Offline-Online Learning of Deformation Model for Cable Manipulation with Graph Neural Networks


Mar 28, 2022
Changhao Wang, Yuyou Zhang, Xiang Zhang, Zheng Wu, Xinghao Zhu, Shiyu Jin, Te Tang, Masayoshi Tomizuka

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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

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* 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

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* 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

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* 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

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* Accepted by IEEE Robotics and Automation Letters. June 2020 

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