| # Unity ML-Agents Toolkit Documentation | |
| ## Installation & Set-up | |
| - [Installation](Installation.md) | |
| - [Using Virtual Environment](Using-Virtual-Environment.md) | |
| ## Getting Started | |
| - [Getting Started Guide](Getting-Started.md) | |
| - [ML-Agents Toolkit Overview](ML-Agents-Overview.md) | |
| - [Background: Unity](Background-Unity.md) | |
| - [Background: Machine Learning](Background-Machine-Learning.md) | |
| - [Background: PyTorch](Background-PyTorch.md) | |
| - [Example Environments](Learning-Environment-Examples.md) | |
| ## Creating Learning Environments | |
| - [Making a New Learning Environment](Learning-Environment-Create-New.md) | |
| - [Designing a Learning Environment](Learning-Environment-Design.md) | |
| - [Designing Agents](Learning-Environment-Design-Agents.md) | |
| - [Using an Executable Environment](Learning-Environment-Executable.md) | |
| - [ML-Agents Package Settings](Package-Settings.md) | |
| ## Training & Inference | |
| - [Training ML-Agents](Training-ML-Agents.md) | |
| - [Training Configuration File](Training-Configuration-File.md) | |
| - [Using TensorBoard to Observe Training](Using-Tensorboard.md) | |
| - [Profiling Trainers](Profiling-Python.md) | |
| - [Unity Inference Engine](Unity-Inference-Engine.md) | |
| ## Extending ML-Agents | |
| - [Creating Custom Side Channels](Custom-SideChannels.md) | |
| - [Creating Custom Samplers for Environment Parameter Randomization](Training-ML-Agents.md#defining-a-new-sampler-type) | |
| ## Hugging Face Integration | |
| - [Using Hugging Face to download and upload trained models](Hugging-Face-Integration.md) | |
| ## Python Tutorial with Google Colab | |
| - [Using a UnityEnvironment](https://colab.research.google.com/github/Unity-Technologies/ml-agents/blob/release_20_docs/colab/Colab_UnityEnvironment_1_Run.ipynb) | |
| - [Q-Learning with a UnityEnvironment](https://colab.research.google.com/github/Unity-Technologies/ml-agents/blob/release_20_docs/colab/Colab_UnityEnvironment_2_Train.ipynb) | |
| - [Using Side Channels on a UnityEnvironment](https://colab.research.google.com/github/Unity-Technologies/ml-agents/blob/release_20_docs/colab/Colab_UnityEnvironment_3_SideChannel.ipynb) | |
| ## Help | |
| - [Migrating from earlier versions of ML-Agents](Migrating.md) | |
| - [Frequently Asked Questions](FAQ.md) | |
| - [ML-Agents Glossary](Glossary.md) | |
| - [Limitations](Limitations.md) | |
| ## API Docs | |
| - [API Reference](API-Reference.md) | |
| - [Python API Documentation](Python-LLAPI-Documentation.md) | |
| - [How to use the Python API](Python-LLAPI.md) | |
| - [How to use the Unity Environment Registry](Unity-Environment-Registry.md) | |
| - [Wrapping Learning Environment as a Gym (+Baselines/Dopamine Integration)](Python-Gym-API.md) | |
| ## Translations | |
| To make the Unity ML-Agents Toolkit accessible to the global research and Unity | |
| developer communities, we're attempting to create and maintain translations of | |
| our documentation. We've started with translating a subset of the documentation | |
| to one language (Chinese), but we hope to continue translating more pages and to | |
| other languages. Consequently, we welcome any enhancements and improvements from | |
| the community. | |
| - [Chinese](../localized_docs/zh-CN/) | |
| - [Korean](../localized_docs/KR/) | |
| ## Deprecated Docs | |
| We no longer use them ourselves and so they may not be up-to-date. We've decided | |
| to keep them up just in case they are helpful to you. | |
| - [Windows Anaconda Installation](Installation-Anaconda-Windows.md) | |
| - [Using Docker](Using-Docker.md) | |
| - [Training on the Cloud with Amazon Web Services](Training-on-Amazon-Web-Service.md) | |
| - [Training on the Cloud with Microsoft Azure](Training-on-Microsoft-Azure.md) | |
| - [Using the Video Recorder](https://github.com/Unity-Technologies/video-recorder) | |