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Pierre-Luc Bacon obtained his PhD in Computer Science in 2018 under the supervision of Doina Precup at McGill University. He is currently an Assistant Professor in the Department of Computer Science and Operations Research at the Université de Montréal. His research efforts in reinforcement learning focus on the long-term learning problem based on the theoretical framework of temporally abstract actions from Sutton et al. (1999). He has received recognition for his work, including the Best Student Presentation Award from the Association Advancement AI in 2017 and the Best Communication Award at the Hierarchical Reinforcement Learning Workshop at NeurIPS in 2017. In addition to his teaching and research responsibilities, he is affiliated with Mila, the Quebec Artificial Intelligence Institute, and IVADO, the Institute for Data Valorization, and is a holder of the CIFAR Chair in AI-Facebook. Bacon's areas of expertise include sequential decision-making, optimization, and the development of intuitive reinforcement learning algorithms.
Université de Montréal • Montréal, QC, Canada
Teaching and conducting research in the Department of Computer Science and Operations Research, focusing on reinforcement learning and decision-making.
Department of Pharmacology and Physiology - Research intensive with options in Neuropharmacology and Pharmacogenomics.