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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Format: | Patent |
Sprache: | chi ; eng |
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