Sébastien Paquet

5 papers and 64 indexed citations i.

Sébastien Paquet is a scholar working on Artificial Intelligence, Management Science and Operations Research and Electrical and Electronic Engineering. According to data from OpenAlex, Sébastien Paquet has authored 5 papers receiving a total of 64 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 2 papers in Management Science and Operations Research and 1 paper in Electrical and Electronic Engineering. Recurrent topics in Sébastien Paquet’s work include Reinforcement Learning in Robotics (2 papers), Adaptation to Concept Drift in Data Streams (1 paper) and Neural Networks and Applications (1 paper). Sébastien Paquet is often cited by papers focused on Reinforcement Learning in Robotics (2 papers), Adaptation to Concept Drift in Data Streams (1 paper) and Neural Networks and Applications (1 paper). Sébastien Paquet collaborates with scholars based in Canada. Sébastien Paquet's co-authors include Alain Désilets, Nicolas Bernier and Brahim Chaib-draa and has published in prestigious journals such as Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, Multiagent and Grid Systems and FedUni ResearchOnline (Federation University Australia).