Emilie Kaufmann

13 papers and 171 indexed citations i.

Emilie Kaufmann has authored 13 papers that have received a total of 171 indexed citations. This includes 10 papers in Management Science and Operations Research, 6 papers in Artificial Intelligence and 4 papers in Computer Networks and Communications. The topics of these papers are Advanced Bandit Algorithms Research (10 papers), Machine Learning and Algorithms (5 papers) and Reinforcement Learning in Robotics (4 papers). Emilie Kaufmann is often cited by papers focused on Advanced Bandit Algorithms Research (10 papers), Machine Learning and Algorithms (5 papers) and Reinforcement Learning in Robotics (4 papers) and collaborates with scholars based in France, Canada and Switzerland. Emilie Kaufmann's co-authors include Aurélien Garivier, Lilian Besson, Alex Luedtke, Christophe Moy and S Barandun and has published in prestigious journals such as The Annals of Statistics, Machine Learning and Theoretical Computer Science