Reinforcement Learning

Master RL from tabular methods to deep policy optimisation, and see how it is used to post-train language models. Build working agents in PyTorch, understand when each algorithm class applies, and develop the judgment to audit AI-generated RL configurations before they reach production.

Lessons are AI-assisted and human-reviewed. Learn more.