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Towards Return Parity in Markov Decision Processes


Nov 19, 2021
Jianfeng Chi, Jian Shen, Xinyi Dai, Weinan Zhang, Yuan Tian, Han Zhao

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On Effective Scheduling of Model-based Reinforcement Learning


Nov 16, 2021
Hang Lai, Jian Shen, Weinan Zhang, Yimin Huang, Xing Zhang, Ruiming Tang, Yong Yu, Zhenguo Li

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* Accepted at NeurIPS2021 

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Curriculum Offline Imitation Learning


Nov 03, 2021
Minghuan Liu, Hanye Zhao, Zhengyu Yang, Jian Shen, Weinan Zhang, Li Zhao, Tie-Yan Liu

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* 19 pages (7 pages of supplementary), 11 figures. Published at 35th Conference on Neural Information Processing Systems (NeurIPS 2021) 

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Task-wise Split Gradient Boosting Trees for Multi-center Diabetes Prediction


Aug 16, 2021
Mingcheng Chen, Zhenghui Wang, Zhiyun Zhao, Weinan Zhang, Xiawei Guo, Jian Shen, Yanru Qu, Jieli Lu, Min Xu, Yu Xu, Tiange Wang, Mian Li, Wei-Wei Tu, Yong Yu, Yufang Bi, Weiqing Wang, Guang Ning

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* 11 pages (2 pages of supplementary), 10 figures, 7 tables. Accepted by ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2021) 

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Model-based Multi-agent Policy Optimization with Adaptive Opponent-wise Rollouts


May 19, 2021
Weinan Zhang, Xihuai Wang, Jian Shen, Ming Zhou

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* Paper accepted at IJCAI 2021 

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MapGo: Model-Assisted Policy Optimization for Goal-Oriented Tasks


May 13, 2021
Menghui Zhu, Minghuan Liu, Jian Shen, Zhicheng Zhang, Sheng Chen, Weinan Zhang, Deheng Ye, Yong Yu, Qiang Fu, Wei Yang

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* Paper accepted at IJCAI 2021 

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Improving Knowledge Tracing via Pre-training Question Embeddings


Dec 09, 2020
Yunfei Liu, Yang Yang, Xianyu Chen, Jian Shen, Haifeng Zhang, Yong Yu

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* 7 pages,3 figures, IJCAI2020 

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Model-based Policy Optimization with Unsupervised Model Adaptation


Oct 28, 2020
Jian Shen, Han Zhao, Weinan Zhang, Yong Yu

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* Thirty-fourth Conference on Neural Information Processing Systems (NeurIPS 2020) 

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