Intelligent agent decision making method, AI model training method, server and medium

A technology of intelligent body and model, applied in the direction of neural learning method, biological neural network model, motion accessories, etc., can solve the problem that the intelligent body is difficult to make long-term decisions

Active Publication Date: 2020-07-10
超参数科技(深圳)有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] At present, it is generally through the memory ability of the neural network to learn the correct decisions that need to be made at different positions of the agent in the AI ​​simulation, and use the soft-attention mechanism to store all state information, including dynamically changing information and static information. For example, in a 3D game, variou

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  • Intelligent agent decision making method, AI model training method, server and medium
  • Intelligent agent decision making method, AI model training method, server and medium
  • Intelligent agent decision making method, AI model training method, server and medium

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Embodiment Construction

[0029] The following will clearly and completely describe the technical solutions in the embodiments of the present application with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of them. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the scope of protection of this application.

[0030] The flow charts shown in the drawings are just illustrations, and do not necessarily include all contents and operations / steps, nor must they be performed in the order described. For example, some operations / steps can be decomposed, combined or partly combined, so the actual order of execution may be changed according to the actual situation.

[0031] It should be understood that the terms used in the specification of this application are for the purpose of ...

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Abstract

The invention discloses an AI model-based agent decision making method, an AI model training method, a server and a medium. The method comprises the steps: obtaining current frame state information ofan agent in a 3D virtual environment and current frame 3D map information; outputting current frame action output information corresponding to the intelligent agent based on the current frame state information and the current frame 3D map information through a time sequence feature extraction module of an AI model; obtaining the state information of the next frame of the intelligent agent according to the current frame action output information; acquiring historical position information of the intelligent agent, and generating a next frame of 3D map information according to the historical position information; and outputting next frame action output information corresponding to the intelligent agent according to the next frame state information and the next frame 3D map information. Therefore, reliable and efficient AI simulation is realized.

Description

technical field [0001] The present application relates to the technical field of artificial intelligence, and in particular to an agent decision-making method, an AI model training method, a server and a medium. Background technique [0002] With the rapid development of artificial intelligence (AI) technology, artificial intelligence technology is widely used in various fields such as 3D games, virtual traffic, automatic driving simulation, robot trajectory planning, etc. AI simulation in 3D virtual space has great commercial value. [0003] At present, it is generally through the memory ability of the neural network to learn the correct decisions that need to be made at different positions of the agent in the AI ​​simulation, and use the soft-attention mechanism to store all state information, including dynamically changing information and static information, For example, in a 3D game, various information such as the constantly moving information of teammates and enemies,...

Claims

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Application Information

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IPC IPC(8): G06N3/08G06N3/04A63F13/67A63F13/58
CPCG06N3/08A63F13/67A63F13/58A63F2300/6027A63F2300/65G06N3/044G06N3/045
Inventor 张弛郭仁杰王宇舟武建芳杨木杨正云李宏亮刘永升
Owner 超参数科技(深圳)有限公司
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