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0.1.1
0.1.2
0.10.0
0.10.1
0.11.0
0.11.0.dev0
0.11.0.dev1
0.11.0.dev2
0.11.0.dev3
0.12.0
0.12.0-dev
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0.12.1
0.12.1.dev0
0.12.1.dev1
0.13.0
0.13.1
0.14.0
0.14.1
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0.15.1
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0.2.1
0.2.1a
0.2.1b
0.2.1c
0.2.1d
0.3.0
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0.3.0b
0.3.1
0.3.1a
0.3.1b
0.4.0
0.4.0a
0.4.0b
0.5.0
0.5.0a
0.6.0
0.6.0a
0.7.0
0.8.0
0.8.1
0.8.2
0.9.0
0.9.1
0.9.2
0.9.3
com.unity.ml-agents_1.0.0
com.unity.ml-agents_1.0.2
com.unity.ml-agents_1.0.3
com.unity.ml-agents_1.0.4
com.unity.ml-agents_1.0.5
com.unity.ml-agents_1.0.6
com.unity.ml-agents_1.0.7
com.unity.ml-agents_1.0.8
com.unity.ml-agents_1.1.0
com.unity.ml-agents_1.2.0
com.unity.ml-agents_1.3.0
com.unity.ml-agents_1.4.0
com.unity.ml-agents_1.5.0
com.unity.ml-agents_1.6.0
com.unity.ml-agents_1.7.0
com.unity.ml-agents_1.7.2
com.unity.ml-agents_1.8.0
com.unity.ml-agents_1.8.1
com.unity.ml-agents_1.9.0
com.unity.ml-agents_1.9.1
com.unity.ml-agents_2.0.0
com.unity.ml-agents_2.1.0
latest_release
python-packages_0.16.0
python-packages_0.16.1
python-packages_0.17.0
python-packages_0.18.0
python-packages_0.18.1
python-packages_0.19.0
python-packages_0.20.0
python-packages_0.21.0
python-packages_0.21.1
python-packages_0.22.0
python-packages_0.23.0
python-packages_0.24.0
python-packages_0.24.1
python-packages_0.25.0
python-packages_0.25.1
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python-packages_0.27.0
release_1
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release_13_docs
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release_14_docs
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release_15_docs
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release_16_docs
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release_2_verified_docs
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release_7
release_7_docs
release_8
release_8_docs
release_8_test0
release_8_test1
release_9
release_9_docs
v0.1
2.4 KiB
2.4 KiB
安装和设置
为了安装和使用 ML-Agents,您需要安装 Unity,克隆这个代码仓库, 并安装 Python 以及其他所依赖的库。下面的每个小节 都会概述每个步骤,此外还会介绍尚在测试阶段的 Docker 的配置方法。
安装 Unity 2017.1 或更高版本
下载 并安装 Unity。如果您想 使用我们的 Docker 设置(稍后介绍),请确保在安装 Unity 时选择 Linux Build Support 组件。
克隆 ml-agents 代码仓库
安装完成后,您需要克隆 ML-Agents GitHub 代码仓库。
git clone git@github.com:Unity-Technologies/ml-agents.git
此代码仓库中的 unity-environment
目录包含了要添加到项目中的
Unity Assets。python
目录包含训练代码。
这两个目录都位于代码仓库的根目录。
安装 Python(以及依赖项)
为了使用 ML-Agents,您需要安装 Python 3 以及 要求文件中列出的依赖项。 一些主要的依赖项包括:
Windows 用户
如果您是刚接触 Python 和 TensorFlow 的 Windows 用户,请遵循此指南来设置 Python 环境。
Mac 和 Unix 用户
如果您的 Python 环境不包括 pip3
,请参阅这些
说明
以了解其安装方法。
要安装依赖项,请进入代码仓库的 python
子目录,
然后从命令行中运行:
pip3 install .
基于 Docker 的安装(测试阶段)
如果您想使用 Docker for ML-Agents,请按照 该指南进行操作。
Unity 包
您可以通过 Unity 包的形式下载TensorFlowSharp 插件 (AWS S3链接,百度盘链接)
帮助
如果您在安装 ML-Agents 时遇到任何问题,请 提交问题,并在提交时 提供有关操作系统、Python 版本和相关错误消息(如可能)的 信息。