| Mean field multi-agent reinforcement learning Y Yang, R Luo, M Li, M Zhou, W Zhang, J Wang Proceedings of the 35th International Conference on Machine Learning, 2018 | 848 | 2018 |
| Efficient ridesharing order dispatching with mean field multi-agent reinforcement learning M Li, Z Qin, Y Jiao, Y Yang, J Wang, C Wang, G Wu, J Ye The world wide web conference, 983-994, 2019 | 316 | 2019 |
| 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 |
| Bi-level actor-critic for multi-agent coordination H Zhang, W Chen, Z Huang, M Li, Y Yang, W Zhang, J Wang Proceedings of the AAAI Conference on Artificial Intelligence 34 (05), 7325-7332, 2020 | 105 | 2020 |
| Multi-View Reinforcement Learning M Li, L Wu, J Wang, HB Ammar Advances in Neural Information Processing Systems, 1418-1429, 2019 | 29 | 2019 |
| Compositional adam: An adaptive compositional solver R Tutunov, M Li, AI Cowen-Rivers, J Wang, H Bou-Ammar arXiv preprint arXiv:2002.03755, 2020 | 21 | 2020 |
| Optimizing object-based perception and control by free-energy principle M Li, P Nashikkar, J Wang CoRR, 2019 | 3 | 2019 |
