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Bayesian Reparameterization of Reward-Conditioned Reinforcement Learning with Energy-based Models


May 18, 2023
Wenhao Ding, Tong Che, Ding Zhao, Marco Pavone

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* Accepted to ICML 2023 

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Critical Scenario Generation for Developing Trustworthy Autonomy


Apr 29, 2023
Wenhao Ding

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* research statement 

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Learning to View: Decision Transformers for Active Object Detection


Jan 23, 2023
Wenhao Ding, Nathalie Majcherczyk, Mohit Deshpande, Xuewei Qi, Ding Zhao, Rajasimman Madhivanan, Arnie Sen

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* Accepted to ICRA 2023 

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Solving practical multi-body dynamics problems using a single neural operator


Oct 01, 2022
Wenhao Ding, Qing He, Hanghang Tong, Qingjing Wang, Ping Wang

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Trustworthy Reinforcement Learning Against Intrinsic Vulnerabilities: Robustness, Safety, and Generalizability


Sep 16, 2022
Mengdi Xu, Zuxin Liu, Peide Huang, Wenhao Ding, Zhepeng Cen, Bo Li, Ding Zhao

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* 36 pages, 5 figures 

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Generalizing Goal-Conditioned Reinforcement Learning with Variational Causal Reasoning


Jul 19, 2022
Wenhao Ding, Haohong Lin, Bo Li, Ding Zhao

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* 28 pages, 5 figures, under review 

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SafeBench: A Benchmarking Platform for Safety Evaluation of Autonomous Vehicles


Jun 20, 2022
Chejian Xu, Wenhao Ding, Weijie Lyu, Zuxin Liu, Shuai Wang, Yihan He, Hanjiang Hu, Ding Zhao, Bo Li

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A Survey on Safety-Critical Scenario Generation for Autonomous Driving -- A Methodological Perspective


Feb 07, 2022
Wenhao Ding, Chejian Xu, Haohong Lin, Bo Li, Ding Zhao

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* 16 pages, 4 figures 

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Certifiable Deep Importance Sampling for Rare-Event Simulation of Black-Box Systems


Nov 03, 2021
Mansur Arief, Yuanlu Bai, Wenhao Ding, Shengyi He, Zhiyuan Huang, Henry Lam, Ding Zhao

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* The conference version of this paper has appeared in AISTATS 2021 (arXiv:2006.15722) 

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CausalAF: Causal Autoregressive Flow for Goal-Directed Safety-Critical Scenes Generation


Oct 26, 2021
Wenhao Ding, Haohong Lin, Bo Li, Ding Zhao

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* 17 pages. Under review of CleaR 2022 

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