Simulator of reinforcement learning model in training recommendation field

The invention provides a simulator for training a reinforcement learning model in the recommendation field, which consists of two core models, namely a user state generation model based on a GAN (Generation Area Network); another is an environmental feedback algorithm, where the environmental feedba...

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Bibliographische Detailangaben
Hauptverfasser: PENG ZIZHEN, HUANG HONGBEN, LU KEDA, YU ZHENMING, MO ZHIYI, LI JIECHENG, ZHU XIAOYING, PANG GUANGYAO
Format: Patent
Sprache:chi ; eng
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