Reinforcement Learning and Computational Decision-Making

Ahmed Hendawy

M.Sc. Ahmed Hendawy

Ph.D. student
LiteRL group @
Technische Universität Darmstadt
Hochschulstraße 10
64289 Darmstadt

About me

Ahmed Hendawy joined the Intelligent Autonomous Systems Group at TU Darmstadt as a Ph.D. Student in April 2022. He is working on Continual and Multi-Task Reinforcement Learning, supervised by Prof. Dr. Carlo D'Eramo (as part of the LiteRL research group).

Ahmed Hendawy has a master's degree in Information Technology from the University of Stuttgart, with a specialization in Computer Engineering. In 2019, Ahmed graduated from the German University in Cairo (GUC) with a bachelor's degree in Mechatronics Engineering.

  • Hendawy, A.; Peters, J.; D'Eramo, C. (2024). Multi-Task Reinforcement Learning with Mixture of Orthogonal Experts, International Conference on Learning Representations (ICLR). Download article
  • Mittenbuehler, M.; Hendawy, A.; D'Eramo, C.; Chalvatzaki, G. (2023). Parameter-efficient Tuning of Pretrained Visual-Language Models in Multitask Robot Learning, CoRL 2023 Workshop on Learning Effective Abstractions for Planning (LEAP). Download article
  • Metternich, H.; Hendawy, A.; Klink, P.; Peters, J.; D'Eramo, C. (2023). Using Proto-Value Functions for Curriculum Generation in Goal-Conditioned RL, NeurIPS 2023 Workshop on Goal-Conditioned Reinforcement Learning. Download article
  • Guirguis, K.; Abdelsamad, M.; Eskandar, G.; Hendawy, A.; Kayser, M.; Yang, B.; Beyerer, J. (2023). Towards Discriminative and Transferable One-Stage Few-Shot Object Detectors, Winter Conference on Applications of Computer Vision (WACV) 2023.   Download Article
  • Guirguis, K.; Hendawy, A.; Eskandar, G.;Abdelsamad, M.;Kayser, M.;Beyerer, J. (2022). CFA: Constraint-based Finetuning Approach for Generalized Few-Shot Object Detection, Workshop on Learning with Limited Labelled Data for Image and Video Understanding (L3D-IVU).   Download Article