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- 1575. Ling Pan, Tabish Rashid, Bei Peng, Longbo Huang, Shimon Whiteson. Regularized Softmax Deep Multi-Agent Q-Learning. , NeurIPS 2021.
- 1574. Yu Huang, Chenzhuang Du, Zihui Xue, Xuanyao Chen, Hang Zhao, Longbo Huang. What Makes Multimodal Learning Better than Single (Provably). , NeurIPS 2021.
- 1573. Jin Zhang, Jianhao Wang, Hao Hu, Tong Chen, Yingfeng Chen, Changjie Fan and Chongjie Zhang. MetaCURE: Meta Reinforcement Learning with Empowerment-Driven Exploration. , ICML 2021.
- 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.
