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1 Ergebnisse
1
Learning Multi-Agent Intention-Aware Communication for Opti..:
, In:
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
,
Fang, Yuchen
;
Tang, Zhenggang
;
Ren, Kan
... - p. 4003-4012 , 2023
Link:
https://dl.acm.org/doi/10.1145/3580305.3599856
RT T1 <cTitle>Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining</cTitle>: T1 <Title>Learning Multi-Agent Intention-Aware Communication for Optimal Multi-Order Execution in Finance</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3599856&Exemplar=1&LAN=DE A1 Fang, Yuchen A1 Tang, Zhenggang A1 Ren, Kan A1 Liu, Weiqing A1 Zhao, Li A1 Bian, Jiang A1 Li, Dongsheng A1 Zhang, Weinan A1 Yu, Yong A1 Liu, Tie-Yan PB ACM YR 2023 K1 financial trading K1 multi-agent reinforcement learning K1 order execution K1 quantitative finance K1 reinforcement learning K1 Computing methodologies K1 Machine learning K1 Learning paradigms K1 Reinforcement learning K1 Multi-agent reinforcement learning SP 4003 OP 4012 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3580305.3599856 DO https://dl.acm.org/doi/10.1145/3580305.3599856 SF ELIB - SuUB Bremen
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