The following publications are possibly variants of this publication:
- Graphon mean-field control for cooperative multi-agent reinforcement learningYuanquan Hu, Xiaoli Wei, Junji Yan, Hengxi Zhang. jfi, 360(18):14783-14805, December 2023. [doi]
- Efficient Ridesharing Order Dispatching with Mean Field Multi-Agent Reinforcement LearningMinne Li, Zhiwei Qin, Yan Jiao, Yaodong Yang, Jun Wang, Chenxi Wang, Guobin Wu, Jieping Ye. WWW 2019: 983-994 [doi]
- Large-Scale Multi-agent Reinforcement Learning Based on Weighted Mean FieldBaofu Fang, Bin Wu, Zaijun Wang, Hao Wang. iccsip 2021: 309-316 [doi]
- 3M-RL: Multi-Resolution, Multi-Agent, Mean-Field Reinforcement Learning for Autonomous UAV RoutingWeichang Wang, Yongming Liu, Rayadurgam Srikant, Lei Ying. tits, 23(7):8985-8996, 2022. [doi]
- Large-scale Multi-agent Decision-making Using Mean Field Game Theory and Reinforcement LearningZejian Zhou. PhD thesis, University of Nevada, Reno, USA, 2021. [doi]
- Heterogeneous Mean-Field Multi-Agent Reinforcement Learning for Communication Routing Selection in SAGI-NetHengxi Zhang, Huaze Tang, Yuanquan Hu, Xiaoli Wei, Chenye Wu, Wenbo Ding, Xiao-Ping Zhang 0002. vtc 2022: 1-5 [doi]
- Autonomous Swarm Robot Coordination via Mean-Field Control Embedding Multi-Agent Reinforcement LearningHuaze Tang, Hengxi Zhang, Zhenpeng Shi, Xinlei Chen, Wenbo Ding, Xiao-Ping Zhang. iros 2023: 8820-8826 [doi]