%0 Conference Paper %1 conf/eenergy/ChiJMSZL20 %A Chi, Ce %A Ji, Kaixuan %A Marahatta, Avinab %A Song, Penglei %A Zhang, Fa %A Liu, Zhiyong %B e-Energy %D 2020 %I ACM %K dblp %P 489-495 %T Jointly Optimizing the IT and Cooling Systems for Data Center Energy Efficiency based on Multi-Agent Deep Reinforcement Learning. %U http://dblp.uni-trier.de/db/conf/eenergy/eenergy2020.html#ChiJMSZL20 %@ 978-1-4503-8009-6

@inproceedings{conf/eenergy/ChiJMSZL20, added-at = {2020-11-19T00:00:00.000+0100}, author = {Chi, Ce and Ji, Kaixuan and Marahatta, Avinab and Song, Penglei and Zhang, Fa and Liu, Zhiyong}, biburl = {https://www.bibsonomy.org/bibtex/22114ed6c3bf53c74021ad52b30537753/dblp}, booktitle = {e-Energy}, crossref = {conf/eenergy/2020}, ee = {https://doi.org/10.1145/3396851.3402658}, interhash = {4b816f24786339ed49ea0342037abde2}, intrahash = {2114ed6c3bf53c74021ad52b30537753}, isbn = {978-1-4503-8009-6}, keywords = {dblp}, pages = {489-495}, publisher = {ACM}, timestamp = {2020-11-20T11:38:13.000+0100}, title = {Jointly Optimizing the IT and Cooling Systems for Data Center Energy Efficiency based on Multi-Agent Deep Reinforcement Learning.}, url = {http://dblp.uni-trier.de/db/conf/eenergy/eenergy2020.html#ChiJMSZL20}, year = 2020 }