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Matthijs Spaan

Matthijs

I am an assistant professor at the Algorithmics group, Delft University of Technology, Delft, The Netherlands.

I held a Marie Curie fellowship in the same group and before I was a senior research scientist at the Institute for Systems and Robotics, Instituto Superior Técnico, Lisbon, Portugal. I have received a PhD degree in Computer Science (2006) and an MSc degree in Artificial Intelligence (2002), both from the University of Amsterdam, The Netherlands.

News

NWO TOP proposal on model learning for sequential decision making granted.Nov 2016
NWO URSES+ proposal on future-proof flexible charging granted. Sep 2016
We're organizing ICAPS 2018 in Delft.Jun 2016
NWO ESIpose proposal on optimizing flexible energy use in industry granted.Mar 2016

Research overview

My research focuses on decision making under uncertainty for single agents (such as robots) as well as multiagent systems. A major goal of Artificial Intelligence is designing agents: systems that perceive their environment and execute actions. In particular, a fundamental question is how to build intelligent agents. When uncertainty and many agents are involved, this question is particularly challenging and has not yet been answered in a satisfactory way.

Uncertainty manifests itself in various forms when computing plans for agents, in particular in real-world scenarios involving robots. For an agent in isolation, planning under uncertainty in acting and sensing has been studied using decision-theoretic models like Partially Observable Markov Decision Processes (POMDPs). However single-agent, centralized methods do not suffice for large-scale multiagent systems, for which I study multiagent extensions such as the decentralized POMDP (Dec-POMDP) model.

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