Maximilian Igl

9 papers and 80 indexed citations i.

Maximilian Igl has authored 9 papers that have received a total of 80 indexed citations. This includes 9 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 1 paper in Computational Theory and Mathematics. The topics of these papers are Reinforcement Learning in Robotics (6 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Adversarial Robustness in Machine Learning (2 papers). Maximilian Igl is often cited by papers focused on Reinforcement Learning in Robotics (6 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Adversarial Robustness in Machine Learning (2 papers) and collaborates with scholars based in United Kingdom, United States and The Netherlands. Maximilian Igl's co-authors include Shimon Whiteson, Gregory Farquhar, Katja Hofmann, Tim Rocktäschel and Tom Rainforth and has published in prestigious journals such as Journal of Machine Learning Research