QMIX-Based Multi-Agent Reinforcement Learning for Electric Vehicle-Facilitated Peak Shaving
Li Wang(McMaster University), Aiguo Fei(Beijing University of Posts and Telecommunications), Lianming Xu(Beijing University of Posts and Telecommunications), Luyang Hou(Beijing University of Posts and Telecommunications), Pengfei Wang(East China Normal University), Sixuan Liu(Nanjing Normal University)
Cited by 4
Related Papers
Reversed graph embedding resolves complex single-cell trajectories
|Nature Methods|2017|5.3k
RecBole: Towards a Unified, Comprehensive and Efficient Framework for Recommendation Algorithms
|Unknown|2021|418
Developing a dengue forecast model using machine learning: A case study in China
|PLoS neglected tropical diseases|2017|270