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Functional Optimal Transport: Mapping Estimation and Domain Adaptation for Functional data


Feb 09, 2021
Jiacheng Zhu, Aritra Guha, Mengdi Xu, Yingchen Ma, Rayleigh Lei, Vincenzo Loffredo, XuanLong Nguyen, Ding Zhao

* 10 pages, 6 figures, 2 tables 

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Context-Aware Safe Reinforcement Learning for Non-Stationary Environments


Jan 02, 2021
Baiming Chen, Zuxin Liu, Jiacheng Zhu, Mengdi Xu, Wenhao Ding, Ding Zhao


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Task-Agnostic Online Reinforcement Learning with an Infinite Mixture of Gaussian Processes


Jun 29, 2020
Mengdi Xu, Wenhao Ding, Jiacheng Zhu, Zuxin Liu, Baiming Chen, Ding Zhao

* 16 pages, 6 figures 

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Delay-Aware Multi-Agent Reinforcement Learning


May 11, 2020
Baiming Chen, Mengdi Xu, Zuxin Liu, Liang Li, Ding Zhao


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Delay-Aware Model-Based Reinforcement Learning for Continuous Control


May 11, 2020
Baiming Chen, Mengdi Xu, Liang Li, Ding Zhao


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CMTS: Conditional Multiple Trajectory Synthesizer for Generating Safety-critical Driving Scenarios


Oct 02, 2019
Wenhao Ding, Mengdi Xu, Ding Zhao

* Submitted to ICRA 2020, 8 pages, 7 figures 

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