Doina Precup

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Core Academic Member
Doina Precup
Associate Professor, McGill University, DeepMind
Doina Precup
Medical Machine Learning (ML)
Reasoning
Reinforcement Learning (RL)
http://cs.mcgill.ca/~dprecup/
(514) 398-6443

Doina Precup teaches at McGill while conducting fundamental research on reinforcement learning, working in particular on AI applications in areas that have a social impact, such as health care. She’s interested in machine decision-making in situations where uncertainty is high.

She is a senior fellow of the Canadian Institute for Advanced Research, fellow of the Association for the Advancement of Artificial Intelligence and she also heads the Montreal office of Deepmind.

Specialist In: Artificial intelligence, machine learning, reinforcement learning, reasoning and planning under uncertainty, applications.

Publications

Neural Transfer Learning for Cry-based Diagnosis of Perinatal Asphyxia
24/06/2019
Variational State Encoding as Intrinsic Motivation in Reinforcement Learning
06/05/2019
Per-Decision Option Discounting
03/02/2019
Off-Policy Deep Reinforcement Learning without Exploration
07/12/2018
See the publications
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