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ORCIDMing Zhou 0006
Person information
- affiliation: Shanghai Jiao Tong University, Department of Computer Science and Engineering, Shanghai, China
Other persons with the same name
- Ming Zhou — disambiguation page
- Ming Zhou 0001
![[0000-0002-2551-2964]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-2551-2964")
— langboat.com, Beijing, China (and 3 more) - Ming Zhou 0002 — Bristol-Myers Squibb, Global Biometric Sciences, New York City, NY, USA (and 1 more)
- Ming Zhou 0003 — Northeast Normal University, Department of Chemistry, Changchun, Jilin, China
- Ming Zhou 0004 — Tsinghua University, Beijing, China (and 1 more)
- Ming Zhou 0005 — Tsinghua University, School of Aerospace Engineering, Beijing, China (and 1 more)
- Ming Zhou 0007 — University of Rostock, Department of Mathematics, Rostock, Germany
- Ming Zhou 0008 — North China Electric Power University, School of Electrical and Electronic Engineering, State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, Beijing, China
- Ming Zhou 0009 — Shenzhen University, College of Management, Shenzhen, China (and 2 more)
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2020 – today
- 2023
[j1]Ming Zhou, Ziyu Wan, Hanjing Wang, Muning Wen, Runzhe Wu, Ying Wen, Yaodong Yang, Yong Yu, Jun Wang, Weinan Zhang:
MALib: A Parallel Framework for Population-based Multi-agent Reinforcement Learning. J. Mach. Learn. Res. 24: 150:1-150:12 (2023)- 2022
- [c10]Jiayu Miao, Tianze Zhou, Kun Shao, Ming Zhou, Weinan Zhang, Jianye Hao, Yong Yu, Jun Wang:
Promoting Quality and Diversity in Population-based Reinforcement Learning via Hierarchical Trajectory Space Exploration. ICRA 2022: 7544-7550 - [i12]Weijun Hong, Menghui Zhu, Minghuan Liu, Weinan Zhang, Ming Zhou, Yong Yu, Peng Sun:
Generative Adversarial Exploration for Reinforcement Learning. CoRR abs/2201.11685 (2022) - [i11]Ming Zhou, Jingxiao Chen, Ying Wen, Weinan Zhang, Yaodong Yang, Yong Yu:
Efficient Policy Space Response Oracles. CoRR abs/2202.00633 (2022) - [i10]Ying Wen, Ziyu Wan, Ming Zhou, Shufang Hou, Zhe Cao, Chenyang Le, Jingxiao Chen, Zheng Tian, Weinan Zhang, Jun Wang:
On Realization of Intelligent Decision-Making in the Real World: A Foundation Decision Model Perspective. CoRR abs/2212.12669 (2022) - 2021
- [c9]Weinan Zhang, Xihuai Wang, Jian Shen, Ming Zhou:
Model-based Multi-agent Policy Optimization with Adaptive Opponent-wise Rollouts. IJCAI 2021: 3384-3391 - [i9]Weinan Zhang, Xihuai Wang, Jian Shen, Ming Zhou:
Model-based Multi-agent Policy Optimization with Adaptive Opponent-wise Rollouts. CoRR abs/2105.03363 (2021) - [i8]Ming Zhou, Ziyu Wan, Hanjing Wang, Muning Wen, Runzhe Wu, Ying Wen, Yaodong Yang, Weinan Zhang, Jun Wang:
MALib: A Parallel Framework for Population-based Multi-agent Reinforcement Learning. CoRR abs/2106.07551 (2021) - 2020
- [c8]Ming Zhou, Jun Luo, Julian Villela, Yaodong Yang, David Rusu, Jiayu Miao, Weinan Zhang, Montgomery Alban, Iman Fadakar, Zheng Chen, Chongxi Huang, Ying Wen, Kimia Hassanzadeh, Daniel Graves, Zhengbang Zhu, Yihan Ni, Nhat M. Nguyen, Mohamed Elsayed, Haitham Ammar, Alexander I. Cowen-Rivers, Sanjeevan Ahilan, Zheng Tian, Daniel Palenicek, Kasra Rezaee, Peyman Yadmellat, Kun Shao, Dong Chen, Baokuan Zhang, Hongbo Zhang, Jianye Hao, Wulong Liu, Jun Wang:
SMARTS: An Open-Source Scalable Multi-Agent RL Training School for Autonomous Driving. CoRL 2020: 264-285 - [c7]Minghuan Liu, Ming Zhou, Weinan Zhang, Yuzheng Zhuang, Jun Wang, Wulong Liu, Yong Yu:
Multi-Agent Interactions Modeling with Correlated Policies. ICLR 2020 - [i7]Minghuan Liu, Ming Zhou, Weinan Zhang, Yuzheng Zhuang, Jun Wang, Wulong Liu, Yong Yu:
Multi-Agent Interactions Modeling with Correlated Policies. CoRR abs/2001.03415 (2020) - [i6]Ming Zhou, Jun Luo, Julian Villela, Yaodong Yang, David Rusu, Jiayu Miao, Weinan Zhang, Montgomery Alban, Iman Fadakar, Zheng Chen, Aurora Chongxi Huang, Ying Wen, Kimia Hassanzadeh, Daniel Graves, Dong Chen, Zhengbang Zhu, Nhat M. Nguyen, Mohamed Elsayed, Kun Shao, Sanjeevan Ahilan, Baokuan Zhang, Jiannan Wu, Zhengang Fu, Kasra Rezaee, Peyman Yadmellat, Mohsen Rohani, Nicolas Perez Nieves, Yihan Ni, Seyedershad Banijamali, Alexander I. Cowen-Rivers, Zheng Tian, Daniel Palenicek, Haitham Bou-Ammar, Hongbo Zhang, Wulong Liu, Jianye Hao, Jun Wang:
SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for Autonomous Driving. CoRR abs/2010.09776 (2020)
2010 – 2019
- 2019
- [c6]Jiarui Jin, Ming Zhou, Weinan Zhang, Minne Li, Zilong Guo, Zhiwei (Tony) Qin, Yan Jiao, Xiaocheng Tang, Chenxi Wang, Jun Wang, Guobin Wu, Jieping Ye:
CoRide: Joint Order Dispatching and Fleet Management for Multi-Scale Ride-Hailing Platforms. CIKM 2019: 1983-1992 - [c5]Ming Zhou, Jiarui Jin, Weinan Zhang, Zhiwei (Tony) Qin, Yan Jiao, Chenxi Wang, Guobin Wu, Yong Yu, Jieping Ye:
Multi-Agent Reinforcement Learning for Order-dispatching via Order-Vehicle Distribution Matching. CIKM 2019: 2645-2653 - [c4]Weijun Hong, Menghui Zhu, Minghuan Liu, Weinan Zhang, Ming Zhou, Yong Yu, Peng Sun:
Generative adversarial exploration for reinforcement learning. DAI 2019: 6:1-6:10 - [c3]Ming Zhou, Yong Chen, Ying Wen, Yaodong Yang, Yufeng Su, Weinan Zhang, Dell Zhang, Jun Wang:
Factorized Q-learning for large-scale multi-agent systems. DAI 2019: 7:1-7:7 - [i5]Jiarui Jin, Ming Zhou, Weinan Zhang, Minne Li, Zilong Guo, Zhiwei (Tony) Qin, Yan Jiao, Xiaocheng Tang, Chenxi Wang, Jun Wang, Guobin Wu, Jieping Ye:
CoRide: Joint Order Dispatching and Fleet Management for Multi-Scale Ride-Hailing Platforms. CoRR abs/1905.11353 (2019) - [i4]Liheng Chen, Hongyi Guo, Haifeng Zhang, Fei Fang, Yaoming Zhu, Ming Zhou, Weinan Zhang, Qing Wang, Yong Yu:
Signal Instructed Coordination in Team Competition. CoRR abs/1909.04224 (2019) - [i3]Ming Zhou, Jiarui Jin, Weinan Zhang, Zhiwei (Tony) Qin, Yan Jiao, Chenxi Wang, Guobin Wu, Yong Yu, Jieping Ye:
Multi-Agent Reinforcement Learning for Order-dispatching via Order-Vehicle Distribution Matching. CoRR abs/1910.02591 (2019) - 2018
- [c2]Lianmin Zheng, Jiacheng Yang, Han Cai, Ming Zhou, Weinan Zhang, Jun Wang, Yong Yu:
MAgent: A Many-Agent Reinforcement Learning Platform for Artificial Collective Intelligence. AAAI 2018: 8222-8223 - [c1]Yaodong Yang, Rui Luo, Minne Li, Ming Zhou, Weinan Zhang, Jun Wang:
Mean Field Multi-Agent Reinforcement Learning. ICML 2018: 5567-5576 - [i2]Yaodong Yang, Rui Luo, Minne Li, Ming Zhou, Weinan Zhang, Jun Wang:
Mean Field Multi-Agent Reinforcement Learning. CoRR abs/1802.05438 (2018) - [i1]Yong Chen, Ming Zhou, Ying Wen, Yaodong Yang, Yufeng Su, Weinan Zhang, Dell Zhang, Jun Wang, Han Liu:
Factorized Q-Learning for Large-Scale Multi-Agent Systems. CoRR abs/1809.03738 (2018)
Coauthor Index
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