Frans A. Oliehoek

Frans A. Oliehoek is an Associate Professor at the Department of Intelligent Systems, Delft University of Technology. He leads the Sequential Decision Making group and directs the Mercury Machine Learning Lab and ELLIS Unit Delft. His research focuses on interactive learning and decision making, combining AI, machine learning, and game theory to develop intelligent systems capable of learning through interaction with dynamic environments. Notable contributions include work on influence-based abstraction, decentralized planning in multi-agent systems, and applications in robotics, traffic control, and human-AI collaboration.

Education: PhD in Computer Science (2010) from the University of Amsterdam, with postdoctoral positions at MIT, Maastricht University, and the University of Liverpool.

Research Interests: Active perception, Bayesian reinforcement learning, multi-agent coordination, and scalable algorithms for complex decision-making problems. His work emphasizes balancing task performance with uncertainty management and lifelong learning.

Scientific Contributions: Over 88 publications, including ERC Starting Grant-winning research, and contributions to open-source tools like the MADP Toolbox. Recognitions include ELLIS Fellowship and Senior AAAI Membership.

Grants & Labs: Led projects funded by ERC and Dutch national grants, overseeing labs advancing AI for societal challenges. Supervised 4 doctoral students and actively participates in academic outreach through editorial roles (JAIR, AIJ) and conference organization.