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3D Human Motion Prediction: A Survey



Kedi Lyu , Haipeng Chen , Zhenguang Liu , Beiqi Zhang , Ruili Wang


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Learning Human Motion Prediction via Stochastic Differential Equations



Kedi Lyu , Zhenguang Liu , Shuang Wu , Haipeng Chen , Xuhong Zhang , Yuyu Yin

* 9 pages, 6 figures 

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Robust Reinforcement Learning Under Minimax Regret for Green Security



Lily Xu , Andrew Perrault , Fei Fang , Haipeng Chen , Milind Tambe

* Accepted at the Conference on Uncertainty in Artificial Intelligence (UAI) 2021. 11 pages, 5 figures 

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Learning MDPs from Features: Predict-Then-Optimize for Sequential Decision Problems by Reinforcement Learning



Kai Wang , Sanket Shah , Haipeng Chen , Andrew Perrault , Finale Doshi-Velez , Milind Tambe


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Contingency-Aware Influence Maximization: A Reinforcement Learning Approach



Haipeng Chen , Wei Qiu , Han-Ching Ou , Bo An , Milind Tambe

* 11 pages; accepted for publication at UAI 2021 

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Aggregated Multi-GANs for Controlled 3D Human Motion Prediction



Zhenguang Liu , Kedi Lyu , Shuang Wu , Haipeng Chen , Yanbin Hao , Shouling Ji


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Active Screening for Recurrent Diseases: A Reinforcement Learning Approach



Han-Ching Ou , Haipeng Chen , Shahin Jabbari , Milind Tambe

* The short version of this paper appears in the proceedings of AAMAS-21 

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EvaLDA: Efficient Evasion Attacks Towards Latent Dirichlet Allocation



Qi Zhou , Haipeng Chen , Yitao Zheng , Zhen Wang

* Accepted for publication at AAAI'2021. 10 pages 

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