Metadata-Version: 2.1
Name: mlagents
Version: 0.7.0
Summary: Unity Machine Learning Agents
Home-page: https://github.com/Unity-Technologies/ml-agents
Author: Unity Technologies
Author-email: ML-Agents@unity3d.com
License: UNKNOWN
Platform: UNKNOWN
Classifier: Intended Audience :: Developers
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Programming Language :: Python :: 3.6
Requires-Python: >=3.6,<3.7
Description-Content-Type: text/markdown
Requires-Dist: tensorflow (<1.8,>=1.7)
Requires-Dist: Pillow (>=4.2.1)
Requires-Dist: matplotlib
Requires-Dist: numpy (<=1.14.5,>=1.13.3)
Requires-Dist: jupyter
Requires-Dist: pytest (<4.0.0,>=3.2.2)
Requires-Dist: docopt
Requires-Dist: pyyaml
Requires-Dist: protobuf (<3.7,>=3.6)
Requires-Dist: grpcio (<1.12.0,>=1.11.0)
Requires-Dist: pypiwin32 (==223) ; platform_system == "Windows"

# Unity ML-Agents Python Interface and Trainers

The `mlagents` Python package is part of the
[ML-Agents Toolkit](https://github.com/Unity-Technologies/ml-agents).
`mlagents` provides a Python API that allows direct interaction with the Unity
game engine as well as a collection of trainers and algorithms to train agents
in Unity environments.

The `mlagents` Python package contains two sub packages:

* `mlagents.envs`: A low level API which allows you to interact directly with a
  Unity Environment. See
  [here](https://github.com/Unity-Technologies/ml-agents/blob/master/docs/Python-API.md)
  for more information on using this package.

* `mlagents.trainers`: A set of Reinforcement Learning algorithms designed to be
  used with Unity environments. Access them using the: `mlagents-learn` access
  point. See
  [here](https://github.com/Unity-Technologies/ml-agents/blob/master/docs/Training-ML-Agents.md)
  for more information on using this package.

## Installation

Install the `mlagents` package with:

```sh
pip install mlagents
```

## Usage & More Information

For more detailed documentation, check out the
[ML-Agents Toolkit documentation.](https://github.com/Unity-Technologies/ml-agents/blob/master/docs/Readme.md)


