Léonard Hussenot

5 papers and 24 indexed citations i.

Léonard Hussenot is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Control and Systems Engineering. According to data from OpenAlex, Léonard Hussenot has authored 5 papers receiving a total of 24 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 1 paper in Computer Vision and Pattern Recognition and 1 paper in Control and Systems Engineering. Recurrent topics in Léonard Hussenot’s work include Reinforcement Learning in Robotics (3 papers), Anomaly Detection Techniques and Applications (2 papers) and Speech Recognition and Synthesis (1 paper). Léonard Hussenot is often cited by papers focused on Reinforcement Learning in Robotics (3 papers), Anomaly Detection Techniques and Applications (2 papers) and Speech Recognition and Synthesis (1 paper). Léonard Hussenot collaborates with scholars based in United States, Germany and Israel. Léonard Hussenot's co-authors include Matthieu Geist, Olivier Pietquin, Olivier Bachem, Marcin Michalski, Marcin Andrychowicz, Anton Raichuk, Robert Dadashi, Sylvain Gelly, Nino Vieillard and Piotr Stańczyk and has published in prestigious journals such as arXiv (Cornell University), International Conference on Machine Learning and International Conference on Learning Representations.