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- Wrap Unity learning environments as a [PettingZoo](Python-PettingZoo-API.md) environment
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## Releases & Documentation
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> **⚠️ Documentation Migration Notice**
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> **⚠️ Documentation Migration Notice**
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> We have moved to [Unity Package documentation](https://docs.unity3d.com/Packages/com.unity.ml-agents@latest) as the **primary developer documentation** and have **deprecated** the maintenance of [web docs](https://unity-technologies.github.io/ml-agents/). Please use the Unity Package documentation for the most up-to-date information.
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The table below shows our latest release, including our `develop` branch which is
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- The `com.unity.ml-agents` package is [verified](https://docs.unity3d.com/2020.1/Documentation/Manual/pack-safe.html)
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for Unity 2020.1 and later. Verified packages releases are numbered 1.0.x.
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* Define Behaviors: entities that specify how an agent should act. Multiple agents can share the same Behavior and a scene may have multiple Behaviors.
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* Record demonstrations: To show the behaviors of an agent within the Editor. You can use demonstrations to help train a behavior for that agent.
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* Embed a trained behavior (aka: run your ML model) in the scene via the [Inference Engine](https://docs.unity3d.com/Packages/com.unity.ai.inference@latest). Embedded behaviors allow you to switch an Agent between learning and inference.
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## Community and Feedback (review needed)
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The ML-Agents Toolkit is an open-source project, and we encourage and welcome
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