DouZero+: Improving DouDizhu AI by Opponent Modeling and Coach-guided Learning. - Youpeng Zhao; Jian Zhao 018; Xunhan Hu; Wengang Zhou 001; Houqiang Li (CoG, 2022)

LDSA: Learning Dynamic Subtask Assignment in Cooperative Multi-Agent Reinforcement Learning. - Mingyu Yang; Jian Zhao 018; Xunhan Hu; Wengang Zhou 001; Jiangcheng Zhu; Houqiang Li (NeurIPS, 2022)

Revisiting QMIX: Discriminative Credit Assignment by Gradient Entropy Regularization. - Jian Zhao 018; Yue Zhang; Xunhan Hu; Weixun Wang; Wengang Zhou 001; Jianye Hao; Jiangcheng Zhu; Houqiang Li (CoRR, 2022)

DQMIX: A Distributional Perspective on Multi-Agent Reinforcement Learning. - Jian Zhao 018; Mingyu Yang; Xunhan Hu; Wengang Zhou 001; Houqiang Li (CoRR, 2022)

CTDS: Centralized Teacher with Decentralized Student for Multi-Agent Reinforcement Learning. - Jian Zhao 018; Xunhan Hu; Mingyu Yang; Wengang Zhou 001; Jiangcheng Zhu; Houqiang Li (CoRR, 2022)

Coach-assisted multi-agent reinforcement learning framework for unexpected crashed agents. - Jian Zhao 018; Youpeng Zhao; Weixun Wang; Mingyu Yang; Xunhan Hu; Wengang Zhou 001; Jianye Hao; Houqiang Li (Frontiers Inf. Technol. Electron. Eng., 2022)

Q-SAT: Value Factorization with Self-Attention for Deep Multi-Agent Reinforcement Learning. - Xunhan Hu; Jian Zhao 018; Youpeng Zhao; Wengang Zhou 001; Houqiang Li (IJCNN, 2023)

DIFFER: Decomposing Individual Reward for Fair Experience Replay in Multi-Agent Reinforcement Learning. - Xunhan Hu; Jian Zhao 018; Wengang Zhou 001; Ruili Feng; Houqiang Li (NeurIPS, 2023)

Discriminative Experience Replay for Efficient Multi-agent Reinforcement Learning. - Xunhan Hu; Jian Zhao 018; Wengang Zhou 001; Houqiang Li (CoRR, 2023)

Rethinking Missing Data: Aleatoric Uncertainty-Aware Recommendation. - Chenxu Wang; Fuli Feng; Yang Zhang 072; Qifan Wang 001; Xunhan Hu; Xiangnan He 001 (IEEE Trans. Big Data, 2023)

CTDS: Centralized Teacher With Decentralized Student for Multiagent Reinforcement Learning. - Jian Zhao 018; Xunhan Hu; Mingyu Yang; Wengang Zhou 001; Jiangcheng Zhu; Houqiang Li (IEEE Trans. Games, 2024)

MCMARL: Parameterizing Value Function via Mixture of Categorical Distributions for Multi-Agent Reinforcement Learning. - Jian Zhao 018; Mingyu Yang; Youpeng Zhao; Xunhan Hu; Wengang Zhou 001; Houqiang Li (IEEE Trans. Games, 2024)

Full DouZero+: Improving DouDizhu AI by Opponent Modeling, Coach-Guided Training and Bidding Learning. - Youpeng Zhao; Jian Zhao 018; Xunhan Hu; Wengang Zhou 001; Houqiang Li (IEEE Trans. Games, 2024)