Bernardo Ávila Pires

4 papers and 9 indexed citations i.

Bernardo Ávila Pires is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Management Science and Operations Research. According to data from OpenAlex, Bernardo Ávila Pires has authored 4 papers receiving a total of 9 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 2 papers in Computational Theory and Mathematics and 1 paper in Management Science and Operations Research. Recurrent topics in Bernardo Ávila Pires’s work include Reinforcement Learning in Robotics (3 papers), Machine Learning and Algorithms (1 paper) and Domain Adaptation and Few-Shot Learning (1 paper). Bernardo Ávila Pires is often cited by papers focused on Reinforcement Learning in Robotics (3 papers), Machine Learning and Algorithms (1 paper) and Domain Adaptation and Few-Shot Learning (1 paper). Bernardo Ávila Pires collaborates with scholars based in Canada, Australia and United Kingdom. Bernardo Ávila Pires's co-authors include Hengshuai Yao, Florent Altché, Jean-Bastien Grill, Mohammad Gheshlaghi Azar, Xinhua Zhang, Csaba Szepesvári, Zhaohan Daniel Guo, Rémi Munos and Bilal Piot and has published in prestigious journals such as CiteSeer X (The Pennsylvania State University), International Conference on Machine Learning and National Conference on Artificial Intelligence.