Hi there!
I am Firas.
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Publications
My
Education
Ph.D. Student at the Intelligent Autonomous Systems Group
TU Darmstadt, Germany
Robot Learning
Master of Science
TU Braunschweig, Germany
Electronic Systems
Master of Science
TU Braunschweig, Germany
Mechanical Engineering Field Automotive Engieering
Bachelor of Science
TU Braunschweig, Germany
Industrial Engineering Field Mechanical Engineering
My
Experience
and Process Control
(2. Master Thesis)
Comparison of reinforcement learning algorithms and evolution strategies for joint-space robotic manipulation. Training a pose estimator for real-world objects based on simulated data only. Introducing redundancy resolution to policy search to yield saver and more natural-looking policies. Evaluation on a simulated and real Franka Emika Panda robot arm.
(1. Master Thesis)
Development of a tactical maneuver planner for automated urban driving using deep reinforcement learning and tree search algorithms. Combining deep reinforcement learning and dynamic programming to speed-up training and enhance the overall performance.
Development of a modular simulation environment for tactical maneuver planning in urban scenarios.
(i.e, Bachelor Thesis)
Development of a plug-in hybrid fuel cell drive train model for tank-to-wheel energy comparisons to other conventional, hybrid and battery-electric drivetrains.
Technical
Skills
Paper accepted at ICLR!
Our Paper, Time-Efficient Reinforcement Learning with Stochastic Stateful Policies, was accepted at the International Conference on Learning Representations (ICLR) 2024! We introduce a novel training
LocoMuJoCo accepted at ROL@NeurIPS
Introducing the first imitation learning benchmark tailored towards locomotion. This benchmark comes with many different environments and motion capture dataset facilitating research in locomotion. We
LS-IQ accepted at EWRL
Happy to announce that our work on Least Squares Inverse Q-Learning got accepted to the European Workshop on Reinforcement Learning.