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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
0.12.0.dev0
0.12.1
0.12.1.dev0
0.12.1.dev1
0.13.0
0.13.1
0.14.0
0.14.1
0.15.0
0.15.1
0.2.0
0.2.1
0.2.1a
0.2.1b
0.2.1c
0.2.1d
0.3.0
0.3.0a
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
release_10
release_10_docs
release_11
release_11_docs
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release_12_docs
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release_13_docs
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release_14_docs
release_15
release_15_docs
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release_16_docs
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release_2_verified_docs
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release_5
release_5_docs
release_6
release_6_docs
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。