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- Wrap Unity learning environments as a [gym](Python-Gym-API.md) environment
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- Wrap Unity learning environments as a [PettingZoo](Python-PettingZoo-API.md) environment
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See our [ML-Agents Overview](ML-Agents-Overview.md) page for detailed
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descriptions of all these features. Or go straight to our [web docs](https://unity-technologies.github.io/ml-agents/).
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## Releases & Documentation
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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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**Our latest, stable release is `Release 22`. Click
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[here](Sample.md)
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to get started with the latest release of ML-Agents.**
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**You can also check out our new [web docs](https://unity-technologies.github.io/ml-agents/)!**
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The table below lists all our releases, including our `main` branch which is
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The table below shows our latest release, including our `develop` branch which is
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under active development and may be unstable. A few helpful guidelines:
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- The [Versioning page](Versioning.md) overviews how we manage our GitHub
@@ -59,16 +54,13 @@ under active development and may be unstable. A few helpful guidelines:
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contains details of the changes between releases.
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- The [Migration page](Migrating.md) contains details on how to upgrade
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from earlier releases of the ML-Agents Toolkit.
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- The **Documentation** links in the table below include installation and usage
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instructions specific to each release. Remember to always use the
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documentation that corresponds to the release version you're using.
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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.
that provides a gentle introduction to Unity and the ML-Agents Toolkit.
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We've also partnered with
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[CodeMonkeyUnity](https://www.youtube.com/c/CodeMonkeyUnity) to create a
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[series of tutorial videos](https://www.youtube.com/playlist?list=PLzDRvYVwl53vehwiN_odYJkPBzcqFw110)
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on how to implement and use the ML-Agents Toolkit.
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We have also published a series of blog posts that are relevant for ML-Agents:
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- (July 12, 2021)
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[ML-Agents plays Dodgeball](https://blog.unity.com/technology/ml-agents-plays-dodgeball)
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- (May 5, 2021)
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[ML-Agents v2.0 release: Now supports training complex cooperative behaviors](https://blogs.unity3d.com/2021/05/05/ml-agents-v2-0-release-now-supports-training-complex-cooperative-behaviors/)
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- (December 28, 2020)
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[Happy holidays from the Unity ML-Agents team!](https://blogs.unity3d.com/2020/12/28/happy-holidays-from-the-unity-ml-agents-team/)
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- (November 20, 2020)
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[How Eidos-Montréal created Grid Sensors to improve observations for training agents](https://blogs.unity3d.com/2020/11/20/how-eidos-montreal-created-grid-sensors-to-improve-observations-for-training-agents/)
[Training intelligent adversaries using self-play with ML-Agents](https://blogs.unity3d.com/2020/02/28/training-intelligent-adversaries-using-self-play-with-ml-agents/)
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- (November 11, 2019)
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[Training your agents 7 times faster with ML-Agents](https://blogs.unity3d.com/2019/11/11/training-your-agents-7-times-faster-with-ml-agents/)
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- (October 21, 2019)
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[The AI@Unity interns help shape the world](https://blogs.unity3d.com/2019/10/21/the-aiunity-interns-help-shape-the-world/)
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- (April 15, 2019)
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[Unity ML-Agents Toolkit v0.8: Faster training on real games](https://blogs.unity3d.com/2019/04/15/unity-ml-agents-toolkit-v0-8-faster-training-on-real-games/)
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- (March 1, 2019)
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[Unity ML-Agents Toolkit v0.7: A leap towards cross-platform inference](https://blogs.unity3d.com/2019/03/01/unity-ml-agents-toolkit-v0-7-a-leap-towards-cross-platform-inference/)
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- (December 17, 2018)
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[ML-Agents Toolkit v0.6: Improved usability of Brains and Imitation Learning](https://blogs.unity3d.com/2018/12/17/ml-agents-toolkit-v0-6-improved-usability-of-brains-and-imitation-learning/)
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- (October 2, 2018)
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[Puppo, The Corgi: Cuteness Overload with the Unity ML-Agents Toolkit](https://blogs.unity3d.com/2018/10/02/puppo-the-corgi-cuteness-overload-with-the-unity-ml-agents-toolkit/)
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- (September 11, 2018)
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[ML-Agents Toolkit v0.5, new resources for AI researchers available now](https://blogs.unity3d.com/2018/09/11/ml-agents-toolkit-v0-5-new-resources-for-ai-researchers-available-now/)
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- (June 26, 2018)
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[Solving sparse-reward tasks with Curiosity](https://blogs.unity3d.com/2018/06/26/solving-sparse-reward-tasks-with-curiosity/)
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- (June 19, 2018)
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[Unity ML-Agents Toolkit v0.4 and Udacity Deep Reinforcement Learning Nanodegree](https://blogs.unity3d.com/2018/06/19/unity-ml-agents-toolkit-v0-4-and-udacity-deep-reinforcement-learning-nanodegree/)
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- (May 24, 2018)
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[Imitation Learning in Unity: The Workflow](https://blogs.unity3d.com/2018/05/24/imitation-learning-in-unity-the-workflow/)
[Using Machine Learning Agents in a real game: a beginner’s guide](https://blogs.unity3d.com/2017/12/11/using-machine-learning-agents-in-a-real-game-a-beginners-guide/)
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- (December 8, 2017)
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[Introducing ML-Agents Toolkit v0.2: Curriculum Learning, new environments, and more](https://blogs.unity3d.com/2017/12/08/introducing-ml-agents-v0-2-curriculum-learning-new-environments-and-more/)
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