EL2805 Reinforcement Learning

Starting end of this month, I will be teaching the course EL2805 Reinforcement Learning together with Prof. Alexandre Proutiere and Damianos Tranos.

The course provides an in-depth treatment of the modern theoretical tools used to devise and analyse RL algorithms. It includes an introduction to RL and to its classical algorithms such as Q-learning, and SARSA, but further presents the rationale behind the design of more recent algorithms, such as those striking optimal trade-off between exploration and exploitation. The course also covers algorithms used in recent RL success stories, e.g., deep RL algorithms.

You can find my notes here.