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Juan Duque

I am a MSE candidate in the Computer Science department at Princeton University, under the supervision of professors Karthik Narasimhan and Elad Hazan. My interests lie in the intersection of Reinforcement Learning and Control Theory, with the goal of developing agents that can use prior knowledge in unseen environments and adapt quickly through interaction and human feedback.

Before Princeton, I did my undergraduate at Georgia Tech where I worked with professors Charles Isbell and Michael Loss in Reinforcement Learning.


Research



Juan Duque, John Li. Deep Exploration Bonuses for Episodic MDPs, 2021. Summary of work done available here.



Juan Duque, Michael Loss, Charles Isbell. Discovering Goals in Hierarchical Reinforcement Learning, 2018. Summary of work done available here.