I built Reinforcement Learning Map

I built a free handbook where the entire field is laid out as an interactive map — ~25 algorithms grouped into branches (value-based, policy-based, model-based, planning), and clicking any node takes you to a full chapter with the intuition, math, and runnable code.

Site: rl-handbook.com
Code: github.com/lubludrova/rl-handbook

Would really appreciate feedback — especially where explanations are unclear or where you’d want more depth. What topics should I prioritize next?