The group is quite diverse in research directions within reinforcement learning. Below you find at list of topics we work on, with the associated PhD student(s) focusing in this direction. Supervision varies over staff members.

Topic: PhD student

Causal RL: Erman Acar, Andreas Sauter

Intrinsic motivation: Thomas Moerland, Zhao Yang

Language & RL: Michiel van der Meer

Meta-learning: Mike Huisman

Multi-agent RL: Annie Wong

Negotiation: Bram Renting

Quantum RL: Casper Gyurik

RL applications in chemistry: Alan Kai Hassen

Socially-embedded RL: Tom Kouwenhoven

Transfer learning: Matthias Muller-Brockhausen