Ming Zhou
Ming Zhou
Shanghai AI Laboratory
Verified email at - Homepage
Cited by
Cited by
Mean Field Multi-Agent Reinforcement Learning
Y Yang, R Luo, M Li, M Zhou, W Zhang, J Wang
ICML 2018, Oral presentation, 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
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
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
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
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
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
Model-based Multi-agent Policy Optimization with Adaptive Opponent-wise Rollouts
W Zhang, X Wang, J Shen, M Zhou
IJCAI 2021, 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
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
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
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
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
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
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 Liu
arXiv preprint arXiv:2401.00006, 2023
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