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1
MARLISA : Multi-Agent Reinforcement Learning with Iterat..:
, In:
Proceedings of the 7th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation
,
Vazquez-Canteli, Jose R.
;
Henze, Gregor
;
Nagy, Zoltan
- p. 170-179 , 2020
Link:
https://dl.acm.org/doi/10.1145/3408308.3427604
RT T1 <cTitle>Proceedings of the 7th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation</cTitle>: T1 <Title>MARLISA : Multi-Agent Reinforcement Learning with Iterative Sequential Action Selection for Load Shaping of Grid-Interactive Connected Buildings</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3427604&Exemplar=1&LAN=DE A1 Vazquez-Canteli, Jose R. A1 Henze, Gregor A1 Nagy, Zoltan PB ACM YR 2020 K1 Reinforcement learning K1 demand response K1 microgrid K1 multi-agent coordination K1 Computing methodologies K1 Artificial intelligence K1 Distributed artificial intelligence K1 Multi-agent systems SP 170 OP 179 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3408308.3427604 DO https://dl.acm.org/doi/10.1145/3408308.3427604 SF ELIB - SuUB Bremen
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