Haitham Bou Ammar
About
Haitham Bou Ammar has authored 32 papers that have received a total of 399 indexed citations.
This includes 23 papers in Artificial Intelligence, 9 papers in Computational Theory and Mathematics and 6 papers in Computer Vision and Pattern Recognition. The topics of these papers are Reinforcement Learning in Robotics (20 papers), Adaptive Dynamic Programming Control (8 papers) and Domain Adaptation and Few-Shot Learning (4 papers). Haitham Bou Ammar is often cited by papers focused on Reinforcement Learning in Robotics (20 papers), Adaptive Dynamic Programming Control (8 papers) and Domain Adaptation and Few-Shot Learning (4 papers) and collaborates with scholars based in United States, United Kingdom and The Netherlands. Haitham Bou Ammar's co-authors include Eric Eaton, Matthew E. Taylor, Decebal Constantin Mocanu, Karl Tuyls and Gerhard Weiß and has published in prestigious journals such as Pattern Recognition, Neural Computation and Machine Learning
In The Last Decade
Explore authors with similar magnitude of impact
Top authors papers by Helmiyati Helmiyati are co-authored with Top fields papers by Matteo Franca are about Top journals papers by Qiyu Wang are published in Top fields papers by Gonca E. Karahan are about Top fields papers by Haroun A.K. Shahad are about Top fields papers by Tie Geng are about Top countries impacted by papers by Sokratis Grigoriadis Top journals papers by Ianir Milevski are published in