Resources
These pages are meant to be used alongside the chapters — not read in order, but reached for when you need them.
📖 Core Concepts Glossary
Every term used in this course, in plain English. One sentence per concept, ordered by when it appears in the curriculum.
🔧 Build Your Own RL Agent
How to turn any problem into an RL environment, pick the right algorithm, implement the training loop, and debug when it doesn't work.
🧱 Starter Templates
Minimal, clean implementations of DQN, PPO, and SAC — no boilerplate, just the algorithm. Fork and adapt to your environment.
🗺️ Roadmap
What's been built, what's coming next, and how to contribute a new algorithm or environment to the course.
Where to start
If you're learning a new term from a chapter: go to the Glossary.
If you want to apply RL to your own problem: go to Build Your Own Agent.
If you want to implement an algorithm from scratch: go to Starter Templates.