Ming Zhou

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Weinan ZhangProfessor, Shanghai Jiao Tong UniversityVerified email at sjtu.edu.cn
Jun WangProfessor, Computer Science, University College LondonVerified email at cs.ucl.ac.uk
Yong Yu (俞勇)Professor, Shanghai Jiao Tong UniversityVerified email at sjtu.edu.cn
Yaodong YangBOYA (博雅) Assistant Professor at Peking UniversityVerified email at pku.edu.cn
Ying WenAssociate Professor, Shanghai Jiao Tong UniversityVerified email at sjtu.edu.cn
Jiarui JinXiaohongshu; Shanghai Jiao Tong University; University College LondonVerified email at ucl.ac.uk
Jieping Ye, IEEE Fellow & ACM Distin...Alibaba GroupVerified email at umich.edu
Zhiwei (Tony) QinCo-founder / Chief Scientist, foreva.aiVerified email at caa.columbia.edu
Lianmin ZhengxAIVerified email at x.ai
Han CaiNVIDIA ResearchVerified email at nvidia.com
Ziyu WanShanghai Jiao Tong UniversityVerified email at sjtu.edu.cn
Yong ChenVerified email at pku.edu.cn
Dell ZhangInstitute of Artificial Intelligence (TeleAI), China TelecomVerified email at ieee.org
Minghuan LiuResearch Scientist, ByteDance ResearchVerified email at sjtu.edu.cn
Runzhe WuCornell UniversityVerified email at cornell.edu
Muning WenPhD student, Shanghai Jiao Tong UniversityVerified email at sjtu.edu.cn
Hanjing WangShanghai Jiao Tong UniversityVerified email at sjtu.edu.cn
Jingxiao ChenShanghai Jiao Tong UniversityVerified email at sjtu.edu.cn
Xihuai WangShanghai Jiao Tong UniversityVerified email at sjtu.edu.cn
Jian ShenShanghai Jiao Tong UniversityVerified email at sjtu.edu.cn

Ming Zhou

Researcher; Shanghai AI Laboratory

Verified email at pjlab.org.cn - Homepage

Multi-Agent Learning Reinforcement Learning Embodied AI


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Mean Field Multi-Agent Reinforcement Learning Y Yang, R Luo, M Li, M Zhou, W Zhang, J Wang ICML 2018, Oral presentation, 2018	847	2018
Magent: A many-agent reinforcement learning platform for artificial collective intelligence L Zheng, J Yang, H Cai, M Zhou, W Zhang, J Wang, Y Yu Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018	250	2018
SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for Autonomous Driving M Zhou, J Luo, J Villela, Y Yang, D Rusu, J Miao, W Zhang, M Alban, ... Conference on Robot Learning 2020 (Best System Paper Award), 2020	223*	2020
CoRide: Joint Order Dispatching and Fleet Management for Multi-Scale Ride-Hailing Platforms J Jin, M Zhou, W Zhang, M Li, Z Guo, Z Qin, Y Jiao, X Tang, C Wang, ... Proceedings of the 28th ACM international conference on information and …, 2019	127	2019
Multi-agent reinforcement learning for order-dispatching via order-vehicle distribution matching M Zhou, J Jin, W Zhang, Z Qin, Y Jiao, C Wang, G Wu, Y Yu, J Ye Proceedings of the 28th ACM International Conference on Information and …, 2019	117	2019
Factorized Q-Learning for Large-Scale Multi-Agent Systems M Zhou, Y Chen, Y Wen, Y Yang, Y Su, W Zhang, D Zhang, J Wang International Conference on Distributed Artificial Intelligence 2019, Oral …, 2018	83	2018
Malib: A parallel framework for population-based multi-agent reinforcement learning M Zhou, Z Wan, H Wang, M Wen, R Wu, Y Wen, Y Yang, Y Yu, J Wang, ... Journal of Machine Learning Research 24 (150), 1-12, 2023	59	2023
Model-based Multi-agent Policy Optimization with Adaptive Opponent-wise Rollouts W Zhang, X Wang, J Shen, M Zhou IJCAI 2021, 2021	39	2021
Multi-Agent Interactions Modeling with Correlated Policies M Liu, M Zhou, W Zhang, Y Zhuang, J Wang, W Liu, Y Yu The International Conference on Learning Representations 2020, 2020	24	2020
Efficient Policy Space Response Oracles M Zhou, J Chen, Y Wen, W Zhang, Y Yang, Y Yu, J Wang arXiv preprint arXiv:2202.00633, 2022	15	2022
On realization of intelligent decision-making in the real world: A foundation decision model perspective Y Wen, Z Wan, M Zhou, S Hou, Z Cao, C Le, J Chen, Z Tian, W Zhang, ... arXiv preprint arXiv:2212.12669, 2022	8	2022
Generative adversarial exploration for reinforcement learning W Hong, M Zhu, M Liu, W Zhang, M Zhou, Y Yu, P Sun Proceedings of the First International Conference on Distributed Artificial …, 2019	7	2019
Promoting quality and diversity in population-based reinforcement learning via hierarchical trajectory space exploration J Miao, T Zhou, K Shao, M Zhou, W Zhang, J Hao, Y Yu, J Wang 2022 International Conference on Robotics and Automation (ICRA), 7544-7550, 2022	5	2022
Signal Instructed Coordination in Team Competition L Chen, H Guo, H Zhang, F Fang, Y Zhu, M Zhou, W Zhang, Q Wang, Y Yu International Conference on Distributed Artificial Intelligence, 185-205, 2019	3	2019
Building open-ended embodied agent via language-policy bidirectional adaptation S Zhai, J Wang, T Zhang, F Huang, Q Zhang, M Zhou, J Hou, Y Qiao, ... arXiv preprint arXiv:2401.00006, 2023	2	2023

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