Unity 机器学习代理工具包 (ML-Agents) 是一个开源项目,它使游戏和模拟能够作为训练智能代理的环境。
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About ML-Agents Extensions package (com.unity.ml-agents.extensions)

The Unity ML-Agents Extensions package contains optional add-ons to the C# SDK for the Unity ML-Agents Toolkit.

These extensions are all considered experimental, and their API or behavior may change between versions.

Package contents

The following table describes the package folder structure:

Location Description
Documentation~ Contains the documentation for the Unity package.
Editor Contains utilities for Editor windows and drawers.
Runtime Contains core C# APIs for integrating ML-Agents into your Unity scene.
Tests Contains the unit tests for the package.

The Runtime directory currently contains three features:

Installation

The ML-Agents Extensions package is not currently available in the Package Manager. There are two recommended ways to install the package:

Local Installation

Clone the repository and follow the Local Installation for Development directions (substituting com.unity.ml-agents.extensions for the package name).

Github via Package Manager

In Unity 2019.4 or later, open the Package Manager, hit the "+" button, and select "Add package from git URL".

Package Manager git URL

In the dialog that appears, enter

git+https://github.com/Unity-Technologies/ml-agents.git?path=com.unity.ml-agents.extensions#release_15

You can also edit your project's manifest.json directly and add the following line to the dependencies section:

"com.unity.ml-agents.extensions": "git+https://github.com/Unity-Technologies/ml-agents.git?path=com.unity.ml-agents.extensions#release_15",

See Git dependencies for more information. Note that this may take several minutes to resolve the packages the first time that you add it.

Requirements

This version of the Unity ML-Agents package is compatible with the following versions of the Unity Editor:

  • 2019.4 and later

If using the InputActuatorComponent

  • install the com.unity.inputsystem package version 1.1.0-preview.3 or later.

Known Limitations

  • For the InputActuatorComponent
    • Limited implementation of InputControls
    • No way to customize the action space of the InputActuatorComponent

Need Help?

The main README contains links for contacting the team or getting support.