Conference paper
Proceedings of the international conference on internet of things design and implementation, 2019, pp. 59--69
APA
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Zhang, C., Kuppannagari, S. R., Xiong, C., Kannan, R., & Prasanna, V. K. (2019). A cooperative multi-agent deep reinforcement learning framework for real-time residential load scheduling. In Proceedings of the international conference on internet of things design and implementation (pp. 59–69).
Chicago/Turabian
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Zhang, Chi, Sanmukh R Kuppannagari, Chuanxiu Xiong, Rajgopal Kannan, and Viktor K Prasanna. “A Cooperative Multi-Agent Deep Reinforcement Learning Framework for Real-Time Residential Load Scheduling.” In Proceedings of the International Conference on Internet of Things Design and Implementation, 59–69, 2019.
MLA
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Zhang, Chi, et al. “A Cooperative Multi-Agent Deep Reinforcement Learning Framework for Real-Time Residential Load Scheduling.” Proceedings of the International Conference on Internet of Things Design and Implementation, 2019, pp. 59–69.
BibTeX Click to copy
@inproceedings{zhang2019a,
title = {A cooperative multi-agent deep reinforcement learning framework for real-time residential load scheduling},
year = {2019},
pages = {59--69},
author = {Zhang, Chi and Kuppannagari, Sanmukh R and Xiong, Chuanxiu and Kannan, Rajgopal and Prasanna, Viktor K},
booktitle = {Proceedings of the international conference on internet of things design and implementation}
}