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1 Ergebnisse
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Maintenance Worker Scheduling for Charging Pile Fault: a Mu..:
, In:
2022 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom)
,
Wang, Wen
;
Fan, Junchao
;
Peng, Xiaofeng
... - p. 82-89 , 2022
Link:
https://doi.org/10.1109/ISPA-BDCloud-SocialCom-Sustain..
RT T1
2022 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom)
: T1
Maintenance Worker Scheduling for Charging Pile Fault: a Multi-Agent RL Approach
UL https://suche.suub.uni-bremen.de/peid=ieee-10070713&Exemplar=1&LAN=DE A1 Wang, Wen A1 Fan, Junchao A1 Peng, Xiaofeng A1 Yang, Ye A1 Xiao, Chun A1 Yang, Shuai A1 Wang, Mingcai A1 Wang, Lingfei A1 Kang, Hongyue A1 Chang, Xiaolin YR 2022 K1 Training K1 Processor scheduling K1 Heuristic algorithms K1 Optimization methods K1 Reinforcement learning K1 Maintenance engineering K1 Markov processes K1 Worker scheduling K1 charging pile fault K1 MAPPO K1 reinforcement learning SP 82 OP 89 LK http://dx.doi.org/https://doi.org/10.1109/ISPA-BDCloud-SocialCom-SustainCom57177.2022.00018 DO https://doi.org/10.1109/ISPA-BDCloud-SocialCom-SustainCom57177.2022.00018 SF ELIB - SuUB Bremen
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