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1 Ergebnisse
1
GAT-MF: Graph Attention Mean Field for Very Large Scale Mul..:
, In:
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
,
Hao, Qianyue
;
Huang, Wenzhen
;
Feng, Tao
.. - p. 685-697 , 2023
Link:
https://dl.acm.org/doi/10.1145/3580305.3599359
RT T1 <cTitle>Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining</cTitle>: T1 <Title>GAT-MF: Graph Attention Mean Field for Very Large Scale Multi-Agent Reinforcement Learning</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3599359&Exemplar=1&LAN=DE A1 Hao, Qianyue A1 Huang, Wenzhen A1 Feng, Tao A1 Yuan, Jian A1 Li, Yong PB ACM YR 2023 K1 graph attention K1 large-scale decision problem K1 mean field K1 multi-agent reinforcement learning K1 Computing methodologies K1 Artificial intelligence K1 Distributed artificial intelligence K1 Multi-agent systems K1 Machine learning K1 Learning paradigms K1 Reinforcement learning K1 Multi-agent reinforcement learning SP 685 OP 697 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3580305.3599359 DO https://dl.acm.org/doi/10.1145/3580305.3599359 SF ELIB - SuUB Bremen
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