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AI PARAMETER CONFIGURATION METHOD AND APPARATUS FOR RACING AI MODEL, AI PARAMETER CONFIGURATION DEVICE, AND STORAGE MEDIUM
AI PARAMETER CONFIGURATION METHOD AND APPARATUS FOR RACING AI MODEL, AI PARAMETER CONFIGURATION DEVICE, AND STORAGE MEDIUM
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机译:用于竞速AI模型,AI参数配置设备和存储介质的AI参数配置方法和装置
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摘要
An artificial intelligence (AI) parameter configuration method for a racing AI model performed by an AI parameter configuration device is provided. A first parameter set including m sets of AI parameters is obtained. Each of the m sets of AI parameters is used by the racing AI model to travel on a track. The racing AI model is controlled to undergo an adaptation degree test according to each of the m sets of AI parameters to obtain m adaptation degrees. The m adaptation degrees are positively correlated with travel distances of the racing AI model on the track according to the m sets of AI parameters. A second parameter set is generated according to the first parameter set in a case that all the m adaptation degrees are less than an adaptation degree threshold. In a case that a target adaptation degree in the m adaptation degrees is greater than the adaptation degree threshold, an AI parameter corresponding to the target adaptation degree is configured as a target AI parameter.
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