Jakob Foerster

30 papers and 1.7k indexed citations i.

Jakob Foerster has authored 30 papers that have received a total of 1.7k indexed citations. This includes 22 papers in Artificial Intelligence, 7 papers in Management Science and Operations Research and 4 papers in Statistical and Nonlinear Physics. The topics of these papers are Reinforcement Learning in Robotics (14 papers), Adversarial Robustness in Machine Learning (4 papers) and Topic Modeling (3 papers). Jakob Foerster is often cited by papers focused on Reinforcement Learning in Robotics (14 papers), Adversarial Robustness in Machine Learning (4 papers) and Topic Modeling (3 papers) and collaborates with scholars based in United Kingdom, United States and Israel. Jakob Foerster's co-authors include Shimon Whiteson, Gregory Farquhar, Nantas Nardelli, Tim Rocktäschel and Hengyuan Hu and has published in prestigious journals such as Nature, PLoS ONE and Artificial Intelligence.