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Peide Huang
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Curriculum Reinforcement Learning using Optimal Transport via Gradual Domain Adaptation


Oct 18, 2022
Peide Huang, Mengdi Xu, Jiacheng Zhu, Laixi Shi, Fei Fang, Ding Zhao

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* 36th Conference on Neural Information Processing Systems (NeurIPS 2022) 
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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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Robust Reinforcement Learning as a Stackelberg Game via Adaptively-Regularized Adversarial Training


Feb 19, 2022
Peide Huang, Mengdi Xu, Fei Fang, Ding Zhao

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Accelerated Policy Evaluation: Learning Adversarial Environments with Adaptive Importance Sampling


Jun 19, 2021
Mengdi Xu, Peide Huang, Fengpei Li, Jiacheng Zhu, Xuewei Qi, Kentaro Oguchi, Zhiyuan Huang, Henry Lam, Ding Zhao

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* 10 pages, 5 figures 
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