Research
Research
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