- 1572. Hao Hu, Jianing Ye, Zhizhou Ren, Guangxiang Zhu, and Chongjie Zhang. Generalizable Episodic Memory for Deep Reinforcement Learning. , ICML 2021.
- 1571. Zhaorong Wang, Meng Wang, Jingqi Zhang, Yingfeng Chen, Chongjie Zhang. Reward-Constrained Behavior Cloning. , IJCAI 2021.
- 1570. Tonghan Wang, Tarun Gupta, Anuj Mahajan, Bei Peng, Shimon Whiteson and Chongjie Zhang. RODE: Learning Roles to Decompose Multi-Agent Tasks. , ICLR 2021.
- 1569. Jianhao Wang, Zhizhou Ren, Terry Liu, Yang Yu and Chongjie Zhang. QPLEX: Duplex Dueling Multi-Agent Q-Learning. , ICLR 2021.
- 1568. Yihan Wang, Beining Han, Tonghan Wang, Heng Dong and Chongjie Zhang. DOP: Off-Policy Multi-Agent Decomposed Policy Gradients. , ICLR 2021.
- 1567. Siyuan Li, Lulu Zheng, Jianhao Wang and Chongjie Zhang. Learning Subgoal Representations with Slow Dynamics. , ICLR 2021.
- 1566. Yao Mu, Yuzheng Zhuang, Bin Wang, Guangxiang Zhu, Wulong Liu, Jianyu Chen, Ping Luo, Shengbo Eben Li, Chongjie Zhang, Jianye HAO. Model-Based Reinforcement Learning via Imagination with Derived Memory. , NeurIPS 2021.
- 1565. Zhizhou Ren, Guangxiang Zhu, Hao Hu, Beining Han, Jianglun Chen, Chongjie Zhang. On the Estimation Bias in Double Q-Learning. , NeurIPS 2021.
- 1564. Jianhao Wang, Wenzhe Li, Haozhe Jiang, Guangxiang Zhu, Siyuan Li, Chongjie Zhang. Offline Reinforcement Learning with Reverse Model-based Imagination. , NeurIPS 2021.
- 1563. Lulu Zheng, Jiarui Chen, Jianhao Wang, Jiamin He, Yujing Hu, Yingfeng Chen, Changjie Fan, Yang Gao, Chongjie Zhang. Episodic Multi-agent Reinforcement Learning with Curiosity-driven Exploration. , NeurIPS 2021.
- 1562. Chenghao Li, Chengjie Wu, Tonghan Wang, JunYang, Qianchuan Zhao, Chongjie Zhang. Celebrating Diversity in Shared Multi-Agent Reinforcement Learning. , NeurIPS 2021.
- 1561. Jianhao Wang, Zhizhou Ren, Beining Han, Jianing Ye, Chongjie Zhang. Towards Understanding Cooperative Multi-Agent Q-Learning with Value Factorization. , NeurIPS 2021.
- 1560. Han Li, Xinyi Zhao, Shuya Li, Fangping Wan, Dan Zhao, and Jianyang Zeng. MoTSE: an interpretable task similarity estimator for small molecular property prediction tasks. , RECOMB. 2021.
- 1559. Hailin Hu , Xianggen Liu, An Xiao, YangYang Li, Chengdong Zhang, Tao Jiang, Dan Zhao, Sen Song, and Jianyang Zeng. Riboexp: an interpretable reinforcement learning framework for ribosome density modeling. , Briefings in Bioinformatics. 2021.
- 1558. Yiyue Ge, Tingzhong Tian#, Suling Huang#, Fangping Wan#, Jingxin Li#, Shuya Li, Xiaoting Wang, Hui Yang, Lixiang Hong, Nian Wu, Enming Yuan, Yunan Luo, Lili Cheng, Chengliang Hu, Yipin Lei, Hantao Shu, Xiaolong Feng, Ziyuan Jiang, Yunfu Wu, Ying Chi, Xili. An integrative drug repositioning framework discovered a potential therapeutic agent targeting COVID-19. , Signal Transduction and Targeted Therapy. 2021.
- 1557. Eugene F. Douglass Jr, Robert Allaway, Bence Szalai, Wenyu Wang, Tingzhong Tian, Adrià Fernández-Torras, Ron Realubit, Charles Karan, Shuyu Zheng, Alberto Pessia, Ziaurrehman Tanoli, Mohieddin Jafari, Fangping Wan, Shuya Li, Yuanpeng Xiong, Miquel Duran-F. A Community Challenge for Pancancer Drug Mechanism of Action Inference from Perturbational Profile Data. , bioRxiv. 2021.
- 1556. Yuanpeng Xiong, Xuan He, Dan Zhao, Tingzhong Tian, Lixiang Hong, Tao Jiang, and Jianyang Zeng. Modelling Multi-species RNA Modification through Multi-task Curriculum Learning. , Nucleic Acids Research. 2021.
- 1555. Dan Zhao, Weifan Xu, Xiaofan Zhang#, Xiaoting Wang, Enming Yuan, Yuanpeng Xiong, Shenyang Wu, Shuya Li, Nian Wu, Tingzhong Tian, Xiaolong Feng, Hantao Shu, Peng Lang, Xiaokun Shen, Haitao Li, Pilong Li, and Jianyang Zeng. Understanding the phase separation characteristics of nucleocapsid protein provides a new therapeutic opportunity against SARS-CoV-2. , Protein & Cell. 2021.
