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1 Ergebnisse
1
A Dual-Agent Scheduler for Distributed Deep Learning Jobs o..:
, In:
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
,
Xing, Mingzhe
;
Mao, Hangyu
;
Yin, Shenglin
... - p. 2776-2788 , 2023
Link:
https://dl.acm.org/doi/10.1145/3580305.3599241
RT T1 <cTitle>Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining</cTitle>: T1 <Title>A Dual-Agent Scheduler for Distributed Deep Learning Jobs on Public Cloud via Reinforcement Learning</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3599241&Exemplar=1&LAN=DE A1 Xing, Mingzhe A1 Mao, Hangyu A1 Yin, Shenglin A1 Pan, Lichen A1 Zhang, Zhengchao A1 Xiao, Zhen A1 Long, Jieyi PB ACM YR 2023 K1 gaussian process K1 job scheduling K1 reinforcement learning K1 Theory of computation K1 Design and analysis of algorithms K1 Approximation algorithms analysis K1 Scheduling algorithms K1 Theory and algorithms for application domains K1 Machine learning theory K1 Kernel methods K1 Gaussian processes K1 Reinforcement learning K1 Multi-agent reinforcement learning SP 2776 OP 2788 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3580305.3599241 DO https://dl.acm.org/doi/10.1145/3580305.3599241 SF ELIB - SuUB Bremen
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