LDSA: Learning Dynamic Subtask Assignment in Cooperative Multi-Agent Reinforcement Learning. - Mingyu Yang 003; Jian Zhao 018; Xunhan Hu; Wengang Zhou 001; Jiangcheng Zhu; Houqiang Li (NeurIPS, 2022)

DQMIX: A Distributional Perspective on Multi-Agent Reinforcement Learning. - Jian Zhao 018; Mingyu Yang 003; 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 003; Wengang Zhou 001; Jiangcheng Zhu; Houqiang Li (CoRR, 2022)

Multi-Target Active Object Tracking with Monte Carlo Tree Search and Target Motion Modeling. - Zheng Chen; Jian Zhao 018; Mingyu Yang 003; Wengang Zhou 001; Houqiang Li (CoRR, 2022)

Coach-assisted multi-agent reinforcement learning framework for unexpected crashed agents. - Jian Zhao 018; Youpeng Zhao 001; Weixun Wang; Mingyu Yang 003; Xunhan Hu; Wengang Zhou 001; Jianye Hao; Houqiang Li (Frontiers Inf. Technol. Electron. Eng., 2022)

Hierarchical Multi-Agent Skill Discovery. - Mingyu Yang 003; Yaodong Yang 001; Zhenbo Lu; Wengang Zhou 001; Houqiang Li (NeurIPS, 2023)

CTDS: Centralized Teacher With Decentralized Student for Multiagent Reinforcement Learning. - Jian Zhao 018; Xunhan Hu; Mingyu Yang 003; Wengang Zhou 001; Jiangcheng Zhu; Houqiang Li (IEEE Trans. Games, 2024)

Optimizing Camera Motion with MCTS and Target Motion Modeling in Multi-Target Active Object Tracking. - Zheng Chen; Jian Zhao 018; Mingyu Yang 003; Wengang Zhou 001; Houqiang Li (ACM Trans. Multim. Comput. Commun. Appl., 2024)

Coordinate-aligned multi-camera collaboration for active multi-object tracking. - Zeyu Fang; Jian Zhao 018; Mingyu Yang 003; Zhenbo Lu; Wengang Zhou 001; Houqiang Li (Multim. Syst., 2024)

MCMARL: Parameterizing Value Function via Mixture of Categorical Distributions for Multi-Agent Reinforcement Learning. - Jian Zhao 018; Mingyu Yang 003; Youpeng Zhao 001; Xunhan Hu; Wengang Zhou 001; Houqiang Li (IEEE Trans. Games, 2024)