protoGAIL:可解释的生成对抗式模仿学习

上传者: 42160424 | 上传时间: 2022-05-06 17:52:57 | 文件大小: 1.64MB | 文件类型: ZIP
使用PyTorch生成对抗式模仿学习 该存储库用于使用PyTorch的生成对抗模拟学习(GAIL)的简单实现。 该实现基于原始的GAIL论文()和我的Reinforcement Learning Collection存储库()。 在此存储库中,诸如CartPole-v0 , Pendulum-v0和BipedalWalker-v3类的环境。 您需要先安装它们,然后才能运行此存储库。 安装依赖项 安装Python 3。 将Python软件包安装在requirements.txt 。 如果将虚拟环境用于Python软件包管理,则可以使用以下bash命令安装所需的所有python软件包: $ pip install -r requirements.txt 安装其他软件包以运行OpenAI Gym环境。 这些取决于您机器的开发设置。 安装PyTorch。 PyTorch的版本应大于或等于

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