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Autor:
Luo, Jerry, Paduraru, Cosmin, Voicu, Octavian, Chervonyi, Yuri, Munns, Scott, Li, Jerry, Qian, Crystal, Dutta, Praneet, Davis, Jared Quincy, Wu, Ningjia, Yang, Xingwei, Chang, Chu-Ming, Li, Ted, Rose, Rob, Fan, Mingyan, Nakhost, Hootan, Liu, Tinglin, Kirkman, Brian, Altamura, Frank, Cline, Lee, Tonker, Patrick, Gouker, Joel, Uden, Dave, Bryan, Warren Buddy, Law, Jason, Fatiha, Deeni, Satra, Neil, Rothenberg, Juliet, Waraich, Mandeep, Carlin, Molly, Tallapaka, Satish, Witherspoon, Sims, Parish, David, Dolan, Peter, Zhao, Chenyu, Mankowitz, Daniel J.
This paper is a technical overview of DeepMind and Google's recent work on reinforcement learning for controlling commercial cooling systems. Building on expertise that began with cooling Google's data centers more efficiently, we recently conducted
Externí odkaz:
http://arxiv.org/abs/2211.07357
