Objectifs :
This is an introduction course to Reinforcement Learning. The objective is to get a theoretical and practical understanding of the field, its potential applications, and its main algorithms and methods.

Programme :
This course is an introduction to the field of Reinforcement Learning, with a focus on constructing artificial intelligence for games. We will introduce classical algorithms as well as more recent approaches using Deep Learning. Along the way we will apply these ideas to different games in Python.

Pré-requis :
Masters level in Computer Science / Maths.
Understanding of Python (programming language).

Compétences acquises à l'issue de la formation :
- Overview of the field of reinforcement learning
- Python implementation of the main algorithms
- Critical thinking on the benefits and limitations of deep reinforcement learning