Miguel Suau

I am a fourth year PhD candidate working on Deep Reinforcement Learning under the supervision of Frans Oliehoek and Matthijs Spaan. My research focus is on simulation-based learning under partial observability. In my work, I investigate how to build lightweight simulators of complicated systems that can run sufficiently fast for Deep RL to be applicable. Before starting my PhD I worked as a data scientist at Unity Technologies in Copenhagen where I also received my MSc in Mathematical Modelling from the Technical University of Denmark.

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