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@@ -6,15 +6,20 @@ The `mlagents` Python package is part of the
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game engine as well as a collection of trainers and algorithms to train agents
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in Unity environments.
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The `mlagents` Python package contains two components: The low level API which
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allows you to interact directly with a Unity Environment (`mlagents.envs`) and
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an entry point to train (`mlagents-learn`) which allows you to train agents in
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Unity Environments using our implementations of reinforcement learning or
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imitation learning.
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The `mlagents` Python package contains two sub packages:
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*`mlagents.envs`: A low level API which
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allows you to interact directly with a Unity Environment.
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See [here](https://github.com/Unity-Technologies/ml-agents/blob/master/docs/Python-API.md) for more information on using this package.
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*`mlagents.trainers`: A set of Reinforcement Learning
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algorithms designed to be used with Unity environments. Access them using the
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`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
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