Joost Broekens

Joost Broekens received a MSc degree in Computer Science at the University of Delft, The Netherlands, in 2001. In 2007 he received his PhD in computer science at the University of Leiden, The Netherlands, in the area of computational modeling of emotion in relation to learning processes. He has published in the area of computational models of emotion (ranging from theoretical approaches to more applied ones), developed master-level courses and course material on the topic, and has given several invited lectures as well as less formal talks for the larger public related to Affective Computing. His most recent interests include reinforcement learning, affective computing, human-robot and human-computer interaction, and gaming research.

If you are interested in this research, please contact Joost Broekens
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Bernd Dudzik, Hayley Hung, Mark A. Neerincx, Joost Broekens (2023), Collecting Mementos: A Multimodal Dataset for Context-Sensitive Modeling of Affect and Memory Processing in Responses to Videos, In IEEE Transactions on Affective Computing.

Thomas M. Moerland, Joost Broekens, Aske Plaat, Catholijn M. Jonker (2023), Model-based Reinforcement Learning: A Survey, In Foundations and Trends in Machine Learning p.1-118.

Frank Kaptein, Bernd Kiefer, Antoine Cully, Oya Celiktutan, Bert Bierman, Rifca Rijgersberg-Peters, Joost Broekens, Willeke Van Vught, Michael Van Bekkum, Yiannis Demiris, Mark A. Neerincx (2