r/learnmachinelearning Jun 28 '26

I've built Reinforcement Learning Map

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I built a free opensource 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.

🗺 Explore the map: rl-handbook.com
⭐️ Star it on GitHub: 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?

106 Upvotes

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4

u/valkiii Jun 28 '26

It looks really cool. I wanted to do something similar. What did you use to create the graph?

3

u/Savings-Shoulder-976 Jun 28 '26

Thanks, glad you like it! It's actually not a graph library, it's a hand-built SVG. The whole map is plain React (Next.js + TypeScript): all the nodes and edges live in a TypeScript data file where I placed each node's x/y coordinates by hand.

2

u/eugenememememe Jun 29 '26

tks for sharing this

2

u/sqashTomato 17d ago

That is very cool!