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Metadata-Version: 2.1 |
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Name: mlagents |
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Version: 0.31.0.dev0 |
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Summary: Unity Machine Learning Agents |
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Home-page: https: |
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Author: Unity Technologies |
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Author-email: ML-Agents@unity3d.com |
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Classifier: Intended Audience :: Developers |
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Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence |
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Classifier: License :: OSI Approved :: Apache Software License |
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Classifier: Programming Language :: Python :: 3.8 |
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Classifier: Programming Language :: Python :: 3.9 |
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Classifier: Programming Language :: Python :: 3.10 |
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Requires-Python: >=3.8.13,<=3.10.12 |
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Description-Content-Type: text/markdown |
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# Unity ML-Agents Trainers |
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The `mlagents` Python package is part of the |
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[ML-Agents Toolkit](https: |
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provides a set of reinforcement and imitation learning algorithms designed to be |
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used with Unity environments. The algorithms interface with the Python API |
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provided by the `mlagents_envs` package. See [here](../docs/Python-LLAPI.md) for |
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more information on `mlagents_envs`. |
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The algorithms can be accessed using the: `mlagents-learn` access point. See |
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[here](../docs/Training-ML-Agents.md) for more information on using this |
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package. |
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## Installation |
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Install the `mlagents` package with: |
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```sh |
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python -m pip install mlagents==0.30.0 |
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``` |
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## Usage & More Information |
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For more information on the ML-Agents Toolkit and how to instrument a Unity |
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scene with the ML-Agents SDK, check out the main |
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[ML-Agents Toolkit documentation](../docs/Readme.md). |
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## Limitations |
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- Resuming self-play from a checkpoint resets the reported ELO to the default |
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value. |
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