EASSS 2018 tutorial: Fundamentals of reinforcement learning

Welcome to the EASSS 2018 tutorial on the Fundamentals of Reinforcement Learning, by Ann Nowé and Diederik M. Roijers.

• The slides are available here.

Older Material

ACAI summer school on RL 2017

This is the material for the ACAI summer school 2017 in Nieuwpoort, and this introduction to reinforcement learning (RL). The introduction was taught by Diederik Roijers, with the assistance of Eugenio Bargiacchi, Pieter Libin, Roxana Rădulescu, Denis Steckelmacher, and Timo Verstraeten, all from the Vrije Universiteit Brussel (VUB).

• The assignments are available here.


• The code for the assigments is available here.


• The slides are available here.

Short talks

This tutorial included the following short talks:

• Pieter Libin - Evaluating epidemic mitigation strategies with preventive bandits [slides]


• Timothy Verstraeten - Reinforcement learning for wind farms [slides]


• Roxana Rădulescu - Multi-agent reinforcement learning [slides] [video]


• Denis Steckelmacher - Hierarchical reinforcement learning [slides] [video]