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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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Multimodal Safety-Critical Scenarios Generation for Decision-Making Algorithms Evaluation

Sep 25, 2020
Wenhao Ding, Baiming Chen, Bo Li, Kim Ji Eun, Ding Zhao

* 8 pages, 7 figures 

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Deep Probabilistic Accelerated Evaluation: A Certifiable Rare-Event Simulation Methodology for Black-Box Autonomy

Jul 01, 2020
Mansur Arief, Zhiyuan Huang, Guru Koushik Senthil Kumar, Yuanlu Bai, Shengyi He, Wenhao Ding, Henry Lam, 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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Learning to Collide: An Adaptive Safety-Critical Scenarios Generating Method

Mar 02, 2020
Wenhao Ding, Minjun Xu, Ding Zhao

* Submitted to IROS 2020 

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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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A New Multi-vehicle Trajectory Generator to Simulate Vehicle-to-Vehicle Encounters

Feb 24, 2019
Wenhao Ding, Wenshuo Wang, Ding Zhao

* 6 pages, accepted by ICRA 2019 

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Vehicle Pose and Shape Estimation through Multiple Monocular Vision

Nov 11, 2018
Wenhao Ding, Shuaijun Li, Guilin Zhang, Xiangyu Lei, Huihuan Qian

* 8 pages, 8 figures, published in ROBIO 2018 

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Multi-Vehicle Trajectories Generation for Vehicle-to-Vehicle Encounters

Sep 15, 2018
Wenhao Ding, Wenshuo Wang, Ding Zhao

* 8 pages, 8 figures, submitted to RA-L with ICRA 2019 

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Hierarchical Reinforcement Learning Framework towards Multi-agent Navigation

Jul 17, 2018
Wenhao Ding, Shuaijun Li, Huihuan Qian

* 7 pages, 4 figures, submitted to ROBIO 2018 

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