| # Unity ML-Agents Trainers | |
| The `mlagents` Python package is part of the | |
| [ML-Agents Toolkit](https://github.com/Unity-Technologies/ml-agents). `mlagents` | |
| provides a set of reinforcement and imitation learning algorithms designed to be | |
| used with Unity environments. The algorithms interface with the Python API | |
| provided by the `mlagents_envs` package. See [here](../docs/Python-LLAPI.md) for | |
| more information on `mlagents_envs`. | |
| The algorithms can be accessed using the: `mlagents-learn` access point. See | |
| [here](../docs/Training-ML-Agents.md) for more information on using this | |
| package. | |
| ## Installation | |
| Install the `mlagents` package with: | |
| ```sh | |
| python -m pip install mlagents==0.30.0 | |
| ``` | |
| ## Usage & More Information | |
| For more information on the ML-Agents Toolkit and how to instrument a Unity | |
| scene with the ML-Agents SDK, check out the main | |
| [ML-Agents Toolkit documentation](../docs/Readme.md). | |
| ## Limitations | |
| - Resuming self-play from a checkpoint resets the reported ELO to the default | |
| value. | |