Beginners

Learning objectives Read an exercise or spec and identify the inputs, outputs, and steps. Break a coding task into small, testable steps. Use documentation and error messages to fix issues without giving up. Why “by yourself” matters The curriculum gives you exercises with worked solutions. The goal is not to copy the solution but to try first, then check. Coding by yourself—even when you get stuck—builds the skill to implement algorithms and debug them later in real projects or research. This part focuses on reading and planning. ...

Learning objectives Know whether this course is aimed at beginners or experts (and how it serves both). Understand the balance between academic theory and practical implementation. Choose a pace that fits your background and goals. Beginners or experts? Beginners (to RL or programming): The course is designed to be accessible. Start with the Learning path Phase 0 if you have no programming. Use Math for RL and Prerequisites before or alongside Volume 1. The Preliminary assessment helps you check readiness. Exercises have hints and worked solutions so you can learn step by step. You do not need a PhD or prior ML course—but you do need to invest time in prerequisites if your background is light. ...