Model training method, device, computer device and storage medium

A model training and initial model technology, applied in the field of machine learning, can solve the problem of low model training efficiency and achieve the effect of improving training efficiency

Active Publication Date: 2018-12-18
TENCENT TECH (SHENZHEN) CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, the deep reinforcement learning model in the related art need

Method used

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  • Model training method, device, computer device and storage medium
  • Model training method, device, computer device and storage medium
  • Model training method, device, computer device and storage medium

Examples

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Embodiment Construction

[0035] Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numerals in different drawings refer to the same or similar elements unless otherwise indicated. The implementations described in the following exemplary embodiments do not represent all implementations consistent with this application. Rather, they are merely examples of apparatuses and methods consistent with aspects of the present application as recited in the appended claims.

[0036] A virtual scene refers to a virtual scene environment generated by a computer, which can provide a multimedia virtual world. Users can control the operable virtual objects in the virtual scene through operating equipment or an operation interface, and observe them from the perspective of virtual objects. Objects, characters, landscapes and other virtual objects in the virtual scen...

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Abstract

The present application relates to a model training method. The method includes acquiring a first sample set, wherein the first sample set includes a first sample image and behavior information of thefirst sample image, and the behavior information is used to indicate behavior action of a virtual object; training the model through the first sample set to obtain an initial model; acquiring a second sample set including a second sample image and behavior information of the second sample image, the second sample image being a scene picture image when the virtual object is controlled by an initial model; the initial model being retrained by the second sample set to obtain the object control model. It does not need long-time on-line training, nor need to prepare a large number of training samples, only a small number of training samples need to be prepared initially, and the subsequent samples in the training process of the initial model execution results are modified to obtain, so as to greatly improve the training efficiency of the virtual object control machine learning model in the virtual scene.

Description

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Claims

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Application Information

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Owner TENCENT TECH (SHENZHEN) CO LTD
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