Jie Zhang, Kefan Li, Baoming Zhang, Ming Xu, Chongjun Wang. QMIMC: Q-Learning Model Based on Imperfect-information under Multi-agent Crowdtesting. In 2021 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom), New York City, NY, USA, September 30 - Oct. 3, 2021. pages 1110-1117, IEEE, 2021. [doi]
@inproceedings{ZhangLZXW21,
title = {QMIMC: Q-Learning Model Based on Imperfect-information under Multi-agent Crowdtesting},
author = {Jie Zhang and Kefan Li and Baoming Zhang and Ming Xu and Chongjun Wang},
year = {2021},
doi = {10.1109/ISPA-BDCloud-SocialCom-SustainCom52081.2021.00153},
url = {https://doi.org/10.1109/ISPA-BDCloud-SocialCom-SustainCom52081.2021.00153},
researchr = {https://researchr.org/publication/ZhangLZXW21},
cites = {0},
citedby = {0},
pages = {1110-1117},
booktitle = {2021 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom), New York City, NY, USA, September 30 - Oct. 3, 2021},
publisher = {IEEE},
isbn = {978-1-6654-3574-1},
}