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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

* 36th Conference on Neural Information Processing Systems (NeurIPS 2022) 

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Semantics-Consistent Cross-domain Summarization via Optimal Transport Alignment


Oct 10, 2022
Jielin Qiu, Jiacheng Zhu, Mengdi Xu, Franck Dernoncourt, Trung Bui, Zhaowen Wang, Bo Li, Ding Zhao, Hailin Jin


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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

* 36 pages, 5 figures 

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An Empirical Exploration of Cross-domain Alignment between Language and Electroencephalogram


Aug 21, 2022
William Han, Jielin Qiu, Jiacheng Zhu, Mengdi Xu, Douglas Weber, Bo Li, Ding Zhao


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Prompting Decision Transformer for Few-Shot Policy Generalization


Jun 27, 2022
Mengdi Xu, Yikang Shen, Shun Zhang, Yuchen Lu, Ding Zhao, Joshua B. Tenenbaum, Chuang Gan

* ICML 2022. Project page: https://mxu34.github.io/PromptDT/ 

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MHMS: Multimodal Hierarchical Multimedia Summarization


Apr 07, 2022
Jielin Qiu, Jiacheng Zhu, Mengdi Xu, Franck Dernoncourt, Trung Bui, Zhaowen Wang, Bo Li, Ding Zhao, Hailin Jin

* 10 pages 

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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

* 10 pages, 5 figures 

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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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