The research group on Human-Centric Machine Learning at TUHH is dedicated to the study of the interaction between human users and AI systems. The main goal is to make AI systems usable by human practitioners who are not necessarily AI experts, by making the AI agents able to understand us better. This research is at the intersection between (multi-agent) reinforcement learning, cognitive modeling and human-computer interaction.
