Doina Precup 
About Him/Her
Doina Precup is a renowned AI researcher and the research team lead at DeepMind, Montreal. She is also a professor at McGill University and the co-director of the Reasoning and Learning Lab. Precup’s research focuses on reinforcement learning, decision-making under uncertainty, and applications in healthcare. Her work has advanced the development of AI systems that can make optimal decisions in complex and uncertain environments.
Publication
Reinforcement Learning and Artificial Intelligence: A Roadmap
Between MDPs and Semi-MDPs: A Framework for Temporal Abstraction in Reinforcement Learning
Off-policy Learning with Function Approximation for Bellman Residual Minimization
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