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Adding references to the Extensions package to help promote it. (#4967)

* Adding references to the Extensions package to help promote it.

* Updating header formatting to match the rest of the page
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GitHub 4 年前
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共有 4 个文件被更改,包括 30 次插入7 次删除
  1. 3
      com.unity.ml-agents.extensions/Documentation~/com.unity.ml-agents.extensions.md
  2. 8
      com.unity.ml-agents/Documentation~/com.unity.ml-agents.md
  3. 24
      docs/Installation.md
  4. 2
      docs/Learning-Environment-Examples.md

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com.unity.ml-agents.extensions/Documentation~/com.unity.ml-agents.extensions.md


### 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](https://github.com/Unity-Technologies/ml-agents/tree/release_12_docs/docs/images/unity_package_manager_git_url.png)
![Package Manager git URL](https://github.com/Unity-Technologies/ml-agents/blob/release_12_docs/docs/images/unity_package_manager_git_url.png)
In the dialog that appears, enter
```
git+https://github.com/Unity-Technologies/ml-agents.git?path=com.unity.ml-agents.extensions

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com.unity.ml-agents/Documentation~/com.unity.ml-agents.md


# About ML-Agents package (`com.unity.ml-agents`)
The Unity ML-Agents package contains the C# SDK for the [Unity ML-Agents
The _ML-Agents_ package contains the primary C# SDK for the [Unity ML-Agents
Toolkit].
The package allows you to convert any Unity scene to into a learning environment

instrumenting a Unity scene, setting it up for training, and then embedding the
trained model back into your Unity scene. The machine learning algorithms that
orchestrate training are part of the companion [Python package].
Note that we also provide an _ML-Agents Extensions_ package
(`com.unity.ml-agents.extensions`) that contains early/experimental features
that you may find useful. This package is only available from the [ML-Agents
GitHub repo].
## Package contents

[execution order of event functions]: https://docs.unity3d.com/Manual/ExecutionOrder.html
[connect with us]: https://github.com/Unity-Technologies/ml-agents#community-and-feedback
[ml-agents forum]: https://forum.unity.com/forums/ml-agents.453/
[ML-Agents GitHub repo]: https://github.com/Unity-Technologies/ml-agents/blob/release_12_docs/com.unity.ml-agents.extensions

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docs/Installation.md


- Unity package ([`com.unity.ml-agents`](../com.unity.ml-agents/)) contains the
Unity C# SDK that will be integrated into your Unity scene.
- Unity package
([`com.unity.ml-agents.extensions`](../com.unity.ml-agents.extensions/))
contains experimental C#/Unity components that are not yet ready to be part
of the base `com.unity.ml-agents` package. `com.unity.ml-agents.extensions`
has a direct dependency on `com.unity.ml-agents`.
- Three Python packages:
- [`mlagents`](../ml-agents/) contains the machine learning algorithms that
enables you to train behaviors in your Unity scene. Most users of ML-Agents

- Install Python (3.6.1 or higher)
- Clone this repository (Optional)
- __Note:__ If you do not clone the repository, then you will not be
able to access the example environments and training configurations.
Additionally, the [Getting Started Guide](Getting-Started.md) assumes that
you have cloned the repository.
able to access the example environments and training configurations or the
`com.unity.ml-agents.extensions` package. Additionally, the
[Getting Started Guide](Getting-Started.md) assumes that you have cloned the
repository.
- Install the `com.unity.ml-agents.extensions` Unity package (Optional)
- Install the `mlagents` Python package
### Install **Unity 2018.4** or Later

`com.unity.ml-agents` package
[directly from the Package Manager registry](https://docs.unity3d.com/Manual/upm-ui-install.html).
Please make sure you enable 'Preview Packages' in the 'Advanced' dropdown in
order to find it.
order to find the latest Preview release of the package.
**NOTE:** If you do not see the ML-Agents package listed in the Package Manager
please follow the [advanced installation instructions](#advanced-local-installation-for-development) below.

If you are going to follow the examples from our documentation, you can open the
`Project` folder in Unity and start tinkering immediately.
### Install the `com.unity.ml-agents.extensions` Unity package (Optional)
To install the `com.unity.ml-agents.extensions` package, you need to first
clone the repo and then complete a local installation similar to what was
outlined in the previous
[Advanced: Local Installation for Development](#advanced-local-installation-for-development-1)
section. Complete installation steps can be found in the
[package documentation](../com.unity.ml-agents.extensions/Documentation~/com.unity.ml-agents.extensions.md#installation).
### Install the `mlagents` Python package

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docs/Learning-Environment-Examples.md


- Recommended minimum: 6
- Recommended maximum: 20
# Strikers Vs. Goalie
## Strikers Vs. Goalie
![StrikersVsGoalie](images/strikersvsgoalie.png)

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