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Firas Al-Hafez
Firas Al-Hafez
Verified email at ias.informatik.tu-darmstadt.de - Homepage
Title
Cited by
Cited by
Year
LS-IQ: Implicit Reward Regularization for Inverse Reinforcement Learning
F Al-Hafez, D Tateo, O Arenz, G Zhao, J Peters
The 11th International Conference on Representation Learning (ICLR) 2023, 2023
212023
LocoMuJoCo: A Comprehensive Imitation Learning Benchmark for Locomotion
F Al-Hafez, G Zhao, J Peters, D Tateo
arXiv preprint arXiv:2311.02496, 2023
152023
Investigation of the holistic energy demand of different power train topologies under realistic boundary conditions
B Hollweck, J Wind, C Schnapp, F Stöber, D Pfeffer
18. Internationales Stuttgarter Symposium, 425-442, 2018
42018
Time-Efficient Reinforcement Learning with Stochastic Stateful Policies
F Al-Hafez, G Zhao, J Peters, D Tateo
The 12th International Conference on Representation Learning (ICLR) 2024, 2023
32023
Redundancy Resolution as Action Bias in Policy Search for Robotic Manipulation
F Al-Hafez, JJ Steil
Conference on Robot Learning (CoRL), 2021
32021
Method and device for supporting maneuver planning for an automated driving vehicle or a robot
M Helbig, J Hoedt, F Al-Hafez
US Patent App. 17/183,951, 2021
22021
Exciting Action: Investigating Efficient Exploration for Learning Musculoskeletal Humanoid Locomotion
HJ Geiβ, F Al-Hafez, A Seyfarth, J Peters, D Tateo
2024 IEEE-RAS 23rd International Conference on Humanoid Robots (Humanoids …, 2024
2024
The Role of Domain Randomization in Training Diffusion Policies for Whole-Body Humanoid Control
O Kaidanov, F Al-Hafez, Y Suvari, B Belousov, J Peters
arXiv preprint arXiv:2411.01349, 2024
2024
Exciting Action: Investigating Efficient Exploration for Learning Musculoskeletal Humanoid Locomotion
HJ Geiß, F Al-Hafez, A Seyfarth, J Peters, D Tateo
IEEE-RAS International Conference on Humanoid Robots, 2024
2024
Least Squares Inverse Q-Learning
F Al-Hafez, D Tateo, O Arenz, G Zhao, J Peters
Sixteenth European Workshop on Reinforcement Learning, 0
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