Frans Oliehoek
Professor at Delft University of Technology
Delft, South Holland, Netherlands
Summary
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Senior🎓
Top SchoolFrans Oliehoek is a professor of artificial intelligence and machine learning based in Delft with over a decade of research and academic leadership focused on sequential decision making, reinforcement learning, and multiagent systems. He has built a deep theoretical and applied portfolio around Markov decision processes—especially decentralized POMDPs—translating complex models into practical decision-support solutions for traffic, logistics, security, and finance. At Delft University of Technology he progressed from associate professor to full professor and also directs the ELLIS Unit Delft, bridging foundational research with European AI collaboration. His work is notable for tackling the computational and information-structure challenges of decentralized decision making, including communication-constrained teams and transfer planning. Trained at the University of Amsterdam (PhD) and with postdoctoral experience at MIT, he combines rigorous theory with real-world application insight that informs scalable multiagent coordination.
11 years of coding experience
15 years of employment as a software developer
VWO, VWO at Utrechts Stedelijk GymnasiumM.Sc., Artificial Intelligence, M.Sc., Artificial Intelligence at University of AmsterdamDoctor of Philosophy (Ph.D.), Computer Science, Doctor of Philosophy (Ph.D.), Computer Science at Universiteit van Amsterdam
English, Dutch
Github Skills (3)
toolbox10
planning10
multiagent-systems10
Programming languages (1)
Github contributions (4)
MADPToolbox/MADP
Mar 2015 - Oct 2020
The Multiagent Decision Process (MADP) Toolbox - planning and learning in multiagent systems.
Contributions:4 releases, 64 commits, 5 PRs in 5 years 8 months
decision-processmultiagentdecisiontoolboxmultiagent-systems
oliehoek/kiva
Apr 2016 - Apr 2016
Contributions:1 commit, 1 push in 1 day
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