airc-rl-agent:在Jetson Nano上使用深度强化学习的AI RC Car Agent-源码

上传者: 42134117 | 上传时间: 2021-07-13 11:32:16 | 文件大小: 17.25MB | 文件类型: ZIP
LearningRacer-rl 概述 该软件能够在几分钟内通过深度强化学习来自我学习您的AI Robocar。 您可以使用Real Robocar和DonkeySim。 1.说明 许多DIY自驾车,例如JetBot或JetRacer,DonkeyCar,都通过监督学习来使用行为克隆。 该方法需要通过人工演示收集很多标记的数据。 在这种情况下,人类驾驶技术非常重要。 另一方面,在此软件中使用深度强化学习(DRL)。 通过与环境的交互,可以自动获得运行行为。 不需要人类标签的样本数据。 另外,该软件代理可以在Jetson Nano上运行。 为什么可以在Jetson Nano上运行并且学习时间短? 因为使用了SAC(软演员评论家)和VAE的集成。 SAC是最新的政策外强化学习方法。 另外,VAE预先在云服务器上作为SAC的CNN层进行训练。(这种方法称为状态表示学习)。 此方法由An

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