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Welcome to my home page. I am Full Professor Interactive Learning and Decision Making at the Department of Intelligent Systems at TU Delft, where I co-lead the Sequential Decision Making group. Additionally, you might be interested in the following:

My main research interests lie in what I call interactive learning and decision making: the intersection of AI, machine learning and game theory that focuses on an intelligent agent that interacts with a complex world. My long term vision is the construction of a collaborative AI scientist. In the short term, I try to generate fundamental knowledge about algorithms and models for learning complex tasks. Specifically, I believe that agents need models to support intelligent decision making. Learning such models is difficult, and given that our world constantly changes, we cannot assume that  agents will ever learn perfect models. Instead, we need to endow them with the capability to learn these models online, i.e., while interacting with their environments: they need to be able to use imperfect models, reason about the uncertainty in their predictions, and actively learn to improve these models (balancing task rewards and knowledge gathering). In addition, I think about how such abstract models might be applied to a variety of real-world tasks such as collaboration in multi-robot or human-AI systems, optimization of traffic control systems, intelligent e-commerce agents, etc.

For more information about my research, look here.

For research opportunities, look here.

For more information about possible student projects (current TU Delft students), look here.

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