Introduction to Reinforcement Learning

Teaching assistant, University of Oxford, 2021

A short course for CDT PhD students.

Lecture slides

  1. Tabular Methods; [practical]

  2. Function Approximation & Deep RL; [practical]

  3. Policy Gradient & Model-based RL; [practical]

  4. POMDP & Multi-Agent RL; [practical]