Ph.D. student
M.Sc. Ahmed Hendawy
LiteRL group @ hessian.AI
Technische Universität Darmstadt
Hochschulstraße 10, 64289 Darmstadt
About
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 holds a master’s degree in Information Technology from the University of Stuttgart, with a specialization in Computer Engineering. In 2019, he graduated from the German University in Cairo (GUC) with a bachelor’s degree in Mechatronics Engineering.
Publications with LiteRL (11)
Journal
TMLR 2026
Do Not Imitate, Reinforce: Iterative Classification via Belief Refinement
M. Kallel, J. Tölle, A. Hendawy, C. D’Eramo
Transactions on Machine Learning Research (TMLR)
Conference
ICLR 2026
Use the Online Network If You Can: Towards Fast and Stable Reinforcement Learning
A. Hendawy, H. Metternich, T. Vincent, M. Kallel, J. Peters, C. D’Eramo
International Conference on Learning Representations (ICLR)
Workshop
EWRL 2026
Use the Online Network If You Can: Towards Fast and Stable Reinforcement Learning
A. Hendawy, H. Metternich, T. Vincent, M. Kallel, J. Peters, C. D’Eramo
European Workshop on Reinforcement Learning (EWRL)
Workshop
EWRL 2026
Do Not Imitate, Reinforce: Iterative Classification via Belief Refinement
M. Kallel, J. Tölle, A. Hendawy, C. D’Eramo
European Workshop on Reinforcement Learning (EWRL)
Workshop
EWRL 2026
Analyzing Value-Based Reinforcement Learning through the Lens of Mode Connectivity
A. Hendawy, H. Metternich, J. Peters, C. D’Eramo
European Workshop on Reinforcement Learning (EWRL)
Workshop
RLC 2026
Do Not Imitate, Reinforce: Iterative Classification via Belief Refinement
M. Kallel, J. Tölle, A. Hendawy, C. D’Eramo
Finding the Frame Workshop, Reinforcement Learning Conference (RLC)
Workshop
EWRL 2025
It Is All Connected: Multi-Task Reinforcement Learning via Mode Connectivity
A. Hendawy, H. Metternich, J. Peters, G. Tiboni, C. D’Eramo
European Workshop on Reinforcement Learning (EWRL)
Conference
ICLR 2024
Multi-Task Reinforcement Learning with Mixture of Orthogonal Experts
A. Hendawy, J. Peters, C. D’Eramo
International Conference on Learning Representations (ICLR)
Workshop
EWRL 2024
Multi-Task Reinforcement Learning with Mixture of Orthogonal Experts
A. Hendawy, J. Peters, C. D’Eramo
European Workshop on Reinforcement Learning (EWRL)
Workshop
NeurIPS 2023
Using Proto-Value Functions for Curriculum Generation in Goal-Conditioned RL
H. Metternich, A. Hendawy, P. Klink, C. D’Eramo
Goal-Conditioned Reinforcement Learning Workshop, Advances in Neural Information Processing Systems (NeurIPS)
Workshop
CoRL 2023
Parameter-Efficient Tuning of Pretrained Visual-Language Models in Multitask Robot Learning
M. Mittenbuehler, A. Hendawy, C. D’Eramo, G. Chalvatzaki
Workshop on Learning Effective Abstractions for Planning (LEAP), Conference on Robot Learning (CoRL)
Other publications (2)
Conference
WACV 2023
Towards Discriminative and Transferable One-Stage Few-Shot Object Detectors
K. Guirguis, M. Abdelsamad, G. Eskandar, A. Hendawy, M. Kayser, B. Yang, J. Beyerer
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
Workshop
L3D-IVU 2022
CFA: Constraint-Based Finetuning Approach for Generalized Few-Shot Object Detection
K. Guirguis, A. Hendawy, G. Eskandar, M. Abdelsamad, M. Kayser, J. Beyerer
Workshop on Learning with Limited Labelled Data for Image and Video Understanding (L3D-IVU)