I am Hany, a postdoctoral researcher at the Amsterdam Machine Learning Lab (AMLab). I received my Phd from the Technical University of Darmstadt, Germany, under the supervision of Jan Peters. My research is centered at the intersection of decision-making theory and statistical inference.
I am interested in sequential decision-making under uncertainty and tackle those problems within the frameworks of reinforcement learning and information-theoretic stochastic optimization. I focus on developing principled and efficient algorithms for stochastic optimal control, sequential experimental design, and approximate inference in state-space models.
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