Frans A. Oliehoek

Frans A. Oliehoek is a Full Professor in Interactive Learning and Decision Making at the Department of Intelligent Systems, Delft University of Technology. He co-leads the Sequential Decision Making group and serves as director and co-founder of the ELLIS Delft Unit. His academic affiliations include senior membership at AAAI, board membership at IFAAMAS, and associate editor roles for JAIR and AIJ.

His research focuses on interactive learning and decision making, integrating AI, machine learning, and game theory to develop algorithms for agents interacting in complex, dynamic environments. Key themes include Bayesian reinforcement learning, influence-based abstraction, multi-agent coordination, and uncertainty modeling in real-world applications like traffic control, human-AI collaboration, and e-commerce agents.

Recent publications highlight advancements in Bayesian RL with factored POMDPs, multi-agent safety guarantees, and state abstraction. His work spans theoretical foundations (e.g., Nash equilibria, MDP homomorphic networks) and practical frameworks (e.g., SHARPIE for human-AI experiments).

Scientific contributions include:

• ELLIS Fellowship
• Senior AAAI Membership
• Best Paper Award at ALA 2021
• Outstanding Paper Award at RLC 2024

He has advised students like Miguel Suau and Robert Loftin, with applications in multi-agent reinforcement learning, Bayesian planning, and human-AI interaction. Collaborations span institutions like UC Berkeley, University of Amsterdam, and MIT.