Diana Borsa

8 papers and 79 indexed citations i.

Diana Borsa is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Networks and Communications. According to data from OpenAlex, Diana Borsa has authored 8 papers receiving a total of 79 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 2 papers in Computational Theory and Mathematics and 1 paper in Computer Networks and Communications. Recurrent topics in Diana Borsa’s work include Reinforcement Learning in Robotics (7 papers), Adaptation to Concept Drift in Data Streams (1 paper) and Machine Learning and Algorithms (1 paper). Diana Borsa is often cited by papers focused on Reinforcement Learning in Robotics (7 papers), Adaptation to Concept Drift in Data Streams (1 paper) and Machine Learning and Algorithms (1 paper). Diana Borsa collaborates with scholars based in United Kingdom, United States and Canada. Diana Borsa's co-authors include André Barreto, David Silver, Doina Precup, Rémi Munos and Matteo Hessel and has published in prestigious journals such as Proceedings of the National Academy of Sciences.