drift_drl:具有深度强化学习功能的高速自主漂移

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具有深度强化学习功能的高速自主漂移 IEEE机器人与自动化快报&ICRA-2020 :desktop_computer: :scroll: 要求 已在Ubuntu 16.04和Ubuntu 20.04上测试。 配备Nvidia GPU,并安装了驱动程序。 在GTX 1080Ti上测试。 安装 ,它是一个程序包管理器,环境管理器和Python发行版。 安装环境: conda env create -f environment_drift.yaml 此命令将创建一个畅达环境命名的drift 七张地图的参考轨迹 地图的参考轨迹位于code/ref_trajectory traj_0 :用于map(a),用于第一阶段训练。 traj_1 ... traj_5 :用于map(bf),用于第二阶段训练。 traj_6 :用于map(g),用于评估 启动模拟器 我们基于构建模拟器。 您可以下载我们的构建版本。 然后将这两行

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