I am an assistant professor at the Algorithmics
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
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. My PhD thesis has been selected as runner-up
for EURON's 7th Georges Giralt PhD Award.
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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.