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Pseudo Dyna-Q : A Reinforcement Learning Framework for I..:

, In: Proceedings of the 13th International Conference on Web Search and Data Mining,

Zou, Lixin ; Xia, Long ; Du, Pan... - p. 816-824 , 2020

Link: https://dl.acm.org/doi/10.1145/3336191.3371801

RT 
T1 <cTitle>Proceedings of the 13th International Conference on Web Search and Data Mining</cTitle>: T1 <Title>Pseudo Dyna-Q				: A Reinforcement Learning Framework for Interactive Recommendation</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3371801&Exemplar=1&LAN=DE
				
A1 Zou, Lixin
A1 Xia, Long
A1 Du, Pan
A1 Zhang, Zhuo
A1 Bai, Ting
A1 Liu, Weidong
A1 Nie, Jian-Yun
A1 Yin, Dawei
PB ACM
YR 2020
K1 customer simulator
K1 model-based reinforcement learning
K1 offline policy learning
K1 pseudo dyna-q
K1 recommender systems
K1 Information systems
K1 Information retrieval
K1 Retrieval tasks and goals
K1 Recommender systems
K1 Theory of computation
K1 Theory and algorithms for application domains
K1 Machine learning theory
K1 Reinforcement learning
K1 Sequential decision making
K1 World Wide Web
K1 Web searching and information discovery
K1 Personalization
SP 816
OP 824
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3336191.3371801
DO https://dl.acm.org/doi/10.1145/3336191.3371801
SF ELIB - SuUB Bremen

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