Remo Sasso

Remo is an incoming PhD student at the Queen Mary University of London, and he holds a BSc and MSc in Artificial Intelligence at the University of Groningen. As a PhD student, he will research efficient exploration approaches for reinforcement learning algorithms. In particular, he is interested in leveraging model-based reinforcement learning algorithms to improve the scalability and efficiency of exploration techniques