Method of training model, device, and storage medium

A method of training a model, comprising:

• acquiring a dialogue information input by a user in a human-machine interaction process;
• obtaining a corresponding predicted information based on the dialogue information by using a first intention recognition model, a first recurrent neural network, and a first named entity recognition model, wherein the predicted information includes:
• a user intention information, a dialogue state information and an entity information;
• obtaining a corresponding machine behavior information based on the predicted information by using a first behavior decision model, in order for a machine to perform a corresponding machine behavior in the human-machine interaction process based on the machine behavior information;
• acquiring a feedback information input by the user for the machine behavior;
• storing at least one of the predicted information, the machine behavior information, or the feedback information as training data in a database;
• and
• performing a model optimization training online based on the training data in the database by using a reinforcement learning algorithm, in response to an amount the training data in the database reaching a preset data amount, wherein
• the performing a model optimization training online based on the training data in the database by using a reinforcement learning algorithm, including, performing the model optimization training online on at least one of the first intention recognition model, the first recurrent neural network, the first named entity recognition model, or the first behavior decision model, based on the training data in the database by using the reinforcement learning algorithm, and
• the method further includes at least one of:
• performing an optimization training on a fully connected layer of the first intention recognition model, in performing the model optimization training on the first intention recognition model;
• and
• performing an optimization training on a fully connected layer of the first behavior decision model, in performing the model optimization training on the first behavior decision model.