Kun Yang, Donghao Li, Cong Shen 0001, Jing Yang 0002, Shu-ping Yeh, Jerry Sydir. Multi-Agent Reinforcement Learning for Wireless User Scheduling: Performance, Scalablility, and Generalization. In 56th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2022, Pacific Grove, CA, USA, October 31 - Nov. 2, 2022. pages 1169-1174, IEEE, 2022. [doi]
@inproceedings{YangLSYYS22-0,
title = {Multi-Agent Reinforcement Learning for Wireless User Scheduling: Performance, Scalablility, and Generalization},
author = {Kun Yang and Donghao Li and Cong Shen 0001 and Jing Yang 0002 and Shu-ping Yeh and Jerry Sydir},
year = {2022},
doi = {10.1109/IEEECONF56349.2022.10051992},
url = {https://doi.org/10.1109/IEEECONF56349.2022.10051992},
researchr = {https://researchr.org/publication/YangLSYYS22-0},
cites = {0},
citedby = {0},
pages = {1169-1174},
booktitle = {56th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2022, Pacific Grove, CA, USA, October 31 - Nov. 2, 2022},
publisher = {IEEE},
isbn = {978-1-6654-5906-8},
}