| # 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](../com.unity.ml-agents/Documentation~/Python-LLAPI.md) for |
| more information on `mlagents_envs`. |
|
|
| The algorithms can be accessed using the: `mlagents-learn` access point. See |
| [here](../com.unity.ml-agents/Documentation~/Training-ML-Agents.md) for more information on using this |
| package. |
|
|
| ## Installation |
|
|
| Install the `mlagents` package with: |
|
|
| ```sh |
| python -m pip install mlagents==1.1.0 |
| ``` |
|
|
| ## 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](https://docs.unity3d.com/Packages/com.unity.ml-agents@latest). |
|
|
| ## Limitations |
|
|
| - Resuming self-play from a checkpoint resets the reported ELO to the default |
| value. |
|
|
