A modern, interactive website for learning Reinforcement Learning concepts with a clean architecture that separates content from presentation.

This website uses a content-first approach where:

1. Content is stored as Markdown in the content/tutorials/ directory
2. HTML templates in the Pages/ directory define the structure and styling
3. JavaScript loaders in the js/ directory fetch and render Markdown content

1. Create a new directory in content/tutorials/ (e.g., 3-New-Tutorial/ or chapter11/)
2. Add a Markdown file with your content (e.g., new-tutorial.md or chapter11.md)
3. Create a matching HTML template in Pages/3-New-Tutorial/ or Pages/chapter11/
4. Update navigation links in existing pages and add a card in index.html

• Markdown is parsed using marked.js
• Math equations use MathJax
• Code highlighting uses highlight.js
• The website is designed to be responsive and work on all devices

For questions or feedback:

• Email: [email protected]
• Telegram: RL_Hub
• GitHub: The-RL-Hub