| site_name: Unity ML-Agents Toolkit | |
| site_url: https://unity-technologies.github.io/ml-agents/ | |
| repo_url: https://github.com/Unity-Technologies/ml-agents | |
| edit_uri: edit/main/docs/ | |
| site_description: The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents. | |
| site_author: Unity Technologies | |
| copyright: com.unity.ml-agents copyright © 2017 - 2022 Unity Technologies | |
| nav: | |
| - Home: index.md | |
| - ML-Agents Overview: ML-Agents-Overview.md | |
| - Toolkit Documentation: ML-Agents-Toolkit-Documentation.md | |
| - Background: | |
| - Machine Learning: Background-Machine-Learning.md | |
| - PyTorch: Background-PyTorch.md | |
| - Unity: Background-Unity.md | |
| - Interfacing with Unity Builds: | |
| - Getting started with the Gym API: Python-Gym-API.md | |
| - Getting started with the PettingZoo API: Python-PettingZoo-API.md | |
| - Getting started with the LLAPI: Python-LLAPI.md | |
| - Python API Docs: | |
| - Gym API Documentation: Python-Gym-API-Documentation.md | |
| - Petting Zoo Documentation: Python-PettingZoo-API-Documentation.md | |
| - LLAPI Documentation: Python-LLAPI-Documentation.md | |
| - On/Off Policy Trainer: Python-On-Off-Policy-Trainer-Documentation.md | |
| - Tutorials: | |
| - Custom Trainer Plugin: Tutorial-Custom-Trainer-Plugin.md | |
| - About: | |
| - FAQs: FAQ.md | |
| - Limitations: Limitations.md | |
| - Migrating: Migrating.md | |
| - Versioning: Versioning.md | |
| theme: | |
| name: material | |
| logo: images/unity-logo.png | |
| favicon: images/unity-logo-black.png | |
| palette: | |
| primary: blue | |
| accent: light blue | |
| extra_css: | |
| - extra.css | |
| markdown_extensions: | |
| - markdown_include.include: | |
| base_path: docs | |