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1 Ergebnisse
1
Learning to Collaborate : Multi-Scenario Ranking via Mul..:
, In:
Proceedings of the 2018 World Wide Web Conference
,
Feng, Jun
;
Li, Heng
;
Huang, Minlie
... - p. 1939-1948 , 2018
Link:
https://dl.acm.org/doi/10.1145/3178876.3186165
RT T1 <cTitle>Proceedings of the 2018 World Wide Web Conference</cTitle>: T1 <Title>Learning to Collaborate : Multi-Scenario Ranking via Multi-Agent Reinforcement Learning</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3186165&Exemplar=1&LAN=DE A1 Feng, Jun A1 Li, Heng A1 Huang, Minlie A1 Liu, Shichen A1 Ou, Wenwu A1 Wang, Zhirong A1 Zhu, Xiaoyan PB International World Wide Web Conferences Steering Committee YR 2018 K1 joint optimization K1 learning to rank K1 multi-agent learning K1 reinforcement learning K1 Theory of computation K1 Theory and algorithms for application domains K1 Machine learning theory K1 Reinforcement learning K1 Multi-agent reinforcement learning K1 Information systems K1 Information retrieval K1 Retrieval models and ranking SP 1939 OP 1948 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3178876.3186165 DO https://dl.acm.org/doi/10.1145/3178876.3186165 SF ELIB - SuUB Bremen
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