# Installation

The ML-Agents Toolkit contains several components:

- Unity package ([`com.unity.ml-agents`](../com.unity.ml-agents/)) contains the
  Unity C# SDK that will be integrated into your Unity scene.
- 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
    will only need to directly install `mlagents`.
  - [`mlagents_envs`](../ml-agents-envs/) contains a Python API to interact with
    a Unity scene. It is a foundational layer that facilitates data messaging
    between Unity scene and the Python machine learning algorithms.
    Consequently, `mlagents` depends on `mlagents_envs`.
  - [`gym_unity`](../gym-unity/) provides a Python-wrapper for your Unity scene
    that supports the OpenAI Gym interface.
- Unity [Project](../Project/) that contains several
  [example environments](Learning-Environment-Examples.md) that highlight the
  various features of the toolkit to help you get started.

Consequently, to install and use the ML-Agents Toolkit you will need to:

- Install Unity (2018.4 or later)
- Install Python (3.6.1 or higher)
- Clone this repository (Optional)
- Install the `com.unity.ml-agents` Unity package
- Install the `mlagents` Python package

### Install **Unity 2018.4** or Later

[Download](https://unity3d.com/get-unity/download) and install Unity. We
strongly recommend that you install Unity through the Unity Hub as it will
enable you to manage multiple Unity versions.

### Install **Python 3.6.1** or Higher

We recommend [installing](https://www.python.org/downloads/) Python 3.6 or 3.7.
If your Python environment doesn't include `pip3`, see these
[instructions](https://packaging.python.org/guides/installing-using-linux-tools/#installing-pip-setuptools-wheel-with-linux-package-managers)
on installing it.

Although we do not provide support for Anaconda installation on Windows, the
previous
[Windows Anaconda Installation (Deprecated) guide](Installation-Anaconda-Windows.md)
is still available.

### Clone the ML-Agents Toolkit Repository (Optional)

Now that you have installed Unity and Python, you can now install the Unity and
Python packages. You do not need to clone the repository to install those
packages, but you may choose to clone the repository if you'd like download our
example environments and training configurations to experiment with them (some
of our tutorials / guides assume you have access to our example environments).

```sh
git clone --branch release_1 https://github.com/Unity-Technologies/ml-agents.git
```

The `--branch release_1` option will switch to the tag of the latest stable
release. Omitting that will get the `master` branch which is potentially
unstable.

#### Advanced: Local Installation for Development

You will need to clone the repository if you plan to modify or extend the
ML-Agents Toolkit for your purposes. If you plan to contribute those changes
back, make sure to clone the `master` branch (by omitting `--branch release_1`
from the command above). See our
[Contributions Guidelines](../com.unity.ml-agents/CONTRIBUTING.md) for more
information on contributing to the ML-Agents Toolkit.

### Install the `com.unity.ml-agents` Unity package

The Unity ML-Agents C# SDK is a Unity Package. You can install the
`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.

**NOTE:** If you do not see the ML-Agents package listed in the Package Manager
please follow the the [advanced installation instructions](#advanced-local-installation-for-development) below.

#### Advanced: Local Installation for Development

You can [add the local](https://docs.unity3d.com/Manual/upm-ui-local.html)
`com.unity.ml-agents` package (from the repository that you just cloned) to our
project by:

1. navigating to the menu `Window` -> `Package Manager`.
1. In the package manager window click on the `+` button.
1. Select `Add package from disk...`
1. Navigate into the `com.unity.ml-agents` folder.
1. Select the `package.json` file.

**NOTE:** In Unity 2018.4 the `+` button is on the bottom right of the packages
list, and in Unity 2019.3 it's on the top left of the packages list.

<p align="center">
  <img src="images/unity_package_manager_window.png"
       alt="Unity Package Manager Window"
       height="300"
       border="10" />
  <img src="images/unity_package_json.png"
     alt="package.json"
     height="300"
     border="10" />
</p>

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 `mlagents` Python package

Installing the `mlagents` Python package involves installing other Python
packages that `mlagents` depends on. So you may run into installation issues if
your machine has older versions of any of those dependencies already installed.
Consequently, our supported path for installing `mlagents` is to leverage Python
Virtual Environments. Virtual Environments provide a mechanism for isolating the
dependencies for each project and are supported on Mac / Windows / Linux. We
offer a dedicated [guide on Virtual Environments](Using-Virtual-Environment.md).

To install the `mlagents` Python package, activate your virtual environment and
run from the command line:

```sh
pip3 install mlagents==0.16.1
```

Note that this will install `mlagents` from PyPi, _not_ from the cloned
repository. If you installed this correctly, you should be able to run
`mlagents-learn --help`, after which you will see the Unity logo and the command
line parameters you can use with `mlagents-learn`.

By installing the `mlagents` package, the dependencies listed in the
[setup.py file](../ml-agents/setup.py) are also installed. These include
[TensorFlow](Background-TensorFlow.md) (Requires a CPU w/ AVX support).

#### Advanced: Local Installation for Development

If you intend to make modifications to `mlagents` or `mlagents_envs`, you should
install the packages from the cloned repository rather than from PyPi. To do
this, you will need to install `mlagents` and `mlagents_envs` separately. From
the repository's root directory, run:

```sh
pip3 install -e ./ml-agents-envs
pip3 install -e ./ml-agents
```

Running pip with the `-e` flag will let you make changes to the Python files
directly and have those reflected when you run `mlagents-learn`. It is important
to install these packages in this order as the `mlagents` package depends on
`mlagents_envs`, and installing it in the other order will download
`mlagents_envs` from PyPi.

## Next Steps

The [Getting Started](Getting-Started.md) guide contains several short tutorials
on setting up the ML-Agents Toolkit within Unity, running a pre-trained model,
in addition to building and training environments.

## Help

If you run into any problems regarding ML-Agents, refer to our [FAQ](FAQ.md) and
our [Limitations](Limitations.md) pages. If you can't find anything please
[submit an issue](https://github.com/Unity-Technologies/ml-agents/issues) and
make sure to cite relevant information on OS, Python version, and exact error
message (whenever possible).