Adriana E. Hugessen
PhD Student at University of Montreal/Mila

I am a PhD student at the Univesity of Montreal and the Quebec Artificial Intelligence Institute (Mila) advised by Prof. Glen Berseth. I received my Bachelor of Science in Engineering (Summa Cum Laude) from Princeton University in 2014 where I majored in Operations Research and Financial Engineering with a certificate in Applications of Computing. Before rejoining academia, I spent several years as a data scientist working on applied machine learning projects at various institutions including Honey/Paypal, Uplight and Citi.
My research interests lie in enabling real-world reinforcement learning including how to best incorporate offline data, learning reward and cost functions, exploration and safety. I am interested in applications of reinforcement learning that could improve our sustainble use of finite resources, including power grids, supply chains and robotics.
news
Sep 25, 2024 | Our work Simplifying Constraint Inference With Inverse Reinforcement Learning was accepted at NeurIPS 2024. |
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May 14, 2024 | Our work Surprise-Adaptive Intrinsic Motivation for Unsupervised Reinforcement Learning was accepted at RLC 2024. |