{"id":30957254,"url":"https://github.com/alanlaboratory/unrealmlagents","last_synced_at":"2025-09-11T13:45:07.296Z","repository":{"id":276856498,"uuid":"812402421","full_name":"AlanLaboratory/UnrealMLAgents","owner":"AlanLaboratory","description":"The Unreal ML Agents Toolkit is an open-source project that enables Unreal Engine games and simulations to serve as environments for training intelligent agents using deep reinforcement learning. 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You are at the right place! This section will help you generate the\ndocumentation so you can read it in your favorite browser. If you prefer not to generate it manually, all files in this\ndirectory are plain text and can be viewed using any text file reader.\n\nThe documentation is written in **ReStructuredText (ReST)** and uses the **Sphinx documentation system**.\n\n## Generating the Documentation Locally\n\nTo generate the documentation, follow these steps:\n\n1. **Install Sphinx**:\n   ```sh\n   python -m pip install -r Docs/requirements.txt\n   ```\n2. **Navigate to the `Docs/` directory** in a terminal.\n3. **Run the following command** to generate the HTML documentation:\n   ```sh\n   make html\n   ```\n   - On Windows, use:\n     ```sh\n     make.bat html\n     ```\n\nOnce the documentation is fully generated, you can open the **index.html** page located at:\n\n```\n_build/html/index.html\n```\n\nThis will open the documentation in your browser for easy reading.\n\n## Additional Resources\n\nFor more details on Unreal ML Agents, check out:\n- [Unreal ML Agents Documentation (Online)](https://unrealmlagents.readthedocs.io/en/latest/)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Falanlaboratory%2Funrealmlagents","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Falanlaboratory%2Funrealmlagents","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Falanlaboratory%2Funrealmlagents/lists"}