Doina Precup

171 papers and 5.2k indexed citations i.

Doina Precup has authored 171 papers that have received a total of 5.2k indexed citations. This includes 118 papers in Artificial Intelligence, 33 papers in Computational Theory and Mathematics and 31 papers in Management Science and Operations Research. The topics of these papers are Reinforcement Learning in Robotics (72 papers), Machine Learning and Algorithms (23 papers) and Formal Methods in Verification (21 papers). Doina Precup is often cited by papers focused on Reinforcement Learning in Robotics (72 papers), Machine Learning and Algorithms (23 papers) and Formal Methods in Verification (21 papers) and collaborates with scholars based in Canada, United States and United Kingdom. Doina Precup's co-authors include Joëlle Pineau, Richard S. Sutton, Tal Arbel, Robert E. Kearney and Wissam Shalish and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Bioinformatics