Method and device for evaluating scheduling strategies in virtual environment and equipment

A virtual environment and scheduling strategy technology, applied in the computer field, can solve the problems of evaluation, inability to build a value network model, difficult scheduling strategy, etc., to achieve the effect of improving accuracy

Active Publication Date: 2019-03-29
TENCENT TECH (SHENZHEN) CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0006] The embodiment of this application provides an evaluation method, device and equipment for scheduling strategies in a virtual environment to solve the problem of ina

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  • Method and device for evaluating scheduling strategies in virtual environment and equipment
  • Method and device for evaluating scheduling strategies in virtual environment and equipment
  • Method and device for evaluating scheduling strategies in virtual environment and equipment

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Embodiment Construction

[0031] In order to make the purpose, technical solution and advantages of the present application clearer, the implementation manners of the present application will be further described in detail below in conjunction with the accompanying drawings.

[0032] First of all, the nouns involved in the embodiments of this application are introduced:

[0033] Virtual Environment: is the virtual environment displayed (or provided) by the application when it is run on the terminal. The virtual environment may be a simulation environment of the real world, or a semi-simulation and semi-fictional three-dimensional environment, or a purely fictional three-dimensional environment. The virtual environment may be any one of a two-dimensional virtual environment, a 2.5-dimensional virtual environment and a three-dimensional virtual environment. Optionally, the virtual environment is also used for a virtual environment battle between at least two virtual characters, and the virtual environme...

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Abstract

The invention discloses a method and device for evaluating scheduling strategies in a virtual environment and equipment and belongs to the technical field of computers. The method comprises the following steps of acquiring frame data generated when an application of the virtual environment runs and extracting target frame data corresponding to a target virtual object from the frame data; extracting characteristics of the target frame data to obtain state characteristics of the target virtual object under the current situation state; calling a value network prediction model to process the statecharacteristics to obtain the expected return income of the target virtual object for executing N scheduling strategies in the current situation state. According to the method, by acquiring the target frame data corresponding to the target virtual object, extracting the state characteristics of the target frame data and calling the value network prediction model to process the state characteristics, the expected return income of each scheduling strategy executed by the target virtual object is obtained, the value network model is created in the virtual environment, and the accuracy of controlling the virtual object to execut the scheduling strategies through AI is improved.

Description

technical field [0001] The present application relates to the field of computer technology, in particular to a method, device and equipment for evaluating scheduling strategies in a virtual environment. Background technique [0002] Artificial Intelligence (AI) is a computer program system that responds to human thinking and performs corresponding behaviors. It is widely used in image recognition, speech recognition, natural language processing, and expert systems. Among them, the expert system is an AI that simulates human experts to solve domain problems, for example, AI AlphaGo that simulates Go players playing Go. [0003] The value network model is a core computing module in Alphago, through which the value network model can accurately evaluate the situation state of Go, so as to accurately determine the optimal move behavior. Since Go can be represented in a 19×19 two-dimensional space, the situation state of Go is a discrete finite state. At the same time, a game of ...

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Application Information

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IPC IPC(8): A63F13/67
CPCA63F13/67A63F2300/6027
Inventor 邱福浩吴斌李晓倩屈鹏梁静
Owner TENCENT TECH (SHENZHEN) CO LTD
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