Danijar Hafner

14 papers and 525 indexed citations i.

Danijar Hafner is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics. According to data from OpenAlex, Danijar Hafner has authored 14 papers receiving a total of 525 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 2 papers in Computational Theory and Mathematics. Recurrent topics in Danijar Hafner’s work include Domain Adaptation and Few-Shot Learning (4 papers), Adversarial Robustness in Machine Learning (4 papers) and Reinforcement Learning in Robotics (3 papers). Danijar Hafner is often cited by papers focused on Domain Adaptation and Few-Shot Learning (4 papers), Adversarial Robustness in Machine Learning (4 papers) and Reinforcement Learning in Robotics (3 papers). Danijar Hafner collaborates with scholars based in United States, United Kingdom and Germany. Danijar Hafner's co-authors include Timothy Lillicrap, Dustin Tran, James Davidson, Martin S. Krejca and Tobias Friedrich and has published in prestigious journals such as Nature, Neural Computation and AI Communications.