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ORCIDMuhammad Burhan Hafez
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2020 – today
- 2025
[j7]Mostafa Kotb
, Cornelius Weber, Muhammad Burhan Hafez, Stefan Wermter:
QT-TDM: Planning With Transformer Dynamics Model and Autoregressive Q-Learning. IEEE Robotics Autom. Lett. 10(1): 112-119 (2025)- 2024
- [j6]Muhammad Burhan Hafez, Stefan Wermter:
Continual Robot Learning Using Self-Supervised Task Inference. IEEE Trans. Cogn. Dev. Syst. 16(3): 947-960 (2024) - [i14]Mostafa Kotb, Cornelius Weber, Muhammad Burhan Hafez, Stefan Wermter:
QT-TDM: Planning with Transformer Dynamics Model and Autoregressive Q-Learning. CoRR abs/2407.18841 (2024) - [i13]Muhammad Burhan Hafez, Kerim Erekmen:
Continual Deep Reinforcement Learning with Task-Agnostic Policy Distillation. CoRR abs/2411.16532 (2024) - 2023
- [j5]Ozan Özdemir, Matthias Kerzel, Cornelius Weber, Jae Hee Lee, Muhammad Burhan Hafez, Patrick Bruns, Stefan Wermter:
Learning Bidirectional Action-Language Translation with Limited Supervision and Testing with Incongruent Input. Appl. Artif. Intell. 37(1) (2023) - [j4]Muhammad Burhan Hafez, Tilman Immisch, Tom Weber, Stefan Wermter:
Map-based experience replay: a memory-efficient solution to catastrophic forgetting in reinforcement learning. Frontiers Neurorobotics 17 (2023) - [c9]Xufeng Zhao, Mengdi Li, Cornelius Weber, Muhammad Burhan Hafez, Stefan Wermter:
Chat with the Environment: Interactive Multimodal Perception Using Large Language Models. IROS 2023: 3590-3596 - [i12]Ozan Özdemir, Matthias Kerzel, Cornelius Weber, Jae Hee Lee, Muhammad Burhan Hafez, Patrick Bruns, Stefan Wermter:
Learning Bidirectional Action-Language Translation with Limited Supervision and Incongruent Extra Input. CoRR abs/2301.03353 (2023) - [i11]Xufeng Zhao, Mengdi Li, Cornelius Weber, Muhammad Burhan Hafez, Stefan Wermter:
Chat with the Environment: Interactive Multimodal Perception using Large Language Models. CoRR abs/2303.08268 (2023) - [i10]Jonas Matthies, Muhammad Burhan Hafez, Mostafa Kotb, Stefan Wermter:
Model Predictive Control with Self-supervised Representation Learning. CoRR abs/2304.07219 (2023) - [i9]Muhammad Burhan Hafez, Tilman Immisch, Tom Weber, Stefan Wermter:
Map-based Experience Replay: A Memory-Efficient Solution to Catastrophic Forgetting in Reinforcement Learning. CoRR abs/2305.02054 (2023) - [i8]Muhammad Burhan Hafez, Stefan Wermter:
Continual Robot Learning using Self-Supervised Task Inference. CoRR abs/2309.04974 (2023) - 2022
- [c8]Xufeng Zhao, Cornelius Weber, Muhammad Burhan Hafez, Stefan Wermter:
Impact Makes a Sound and Sound Makes an Impact: Sound Guides Representations and Explorations. IROS 2022: 2512-2518 - [i7]Xufeng Zhao, Cornelius Weber, Muhammad Burhan Hafez, Stefan Wermter:
Impact Makes a Sound and Sound Makes an Impact: Sound Guides Representations and Explorations. CoRR abs/2208.02680 (2022) - 2021
- [c7]Julien Scholz, Cornelius Weber, Muhammad Burhan Hafez, Stefan Wermter:
Improving Model-Based Reinforcement Learning with Internal State Representations through Self-Supervision. IJCNN 2021: 1-8 - [c6]Muhammad Burhan Hafez, Stefan Wermter:
Behavior Self-Organization Supports Task Inference for Continual Robot Learning. IROS 2021: 6739-6746 - [i6]Julien Scholz, Cornelius Weber, Muhammad Burhan Hafez, Stefan Wermter:
Improving Model-Based Reinforcement Learning with Internal State Representations through Self-Supervision. CoRR abs/2102.05599 (2021) - [i5]Muhammad Burhan Hafez, Stefan Wermter:
Behavior Self-Organization Supports Task Inference for Continual Robot Learning. CoRR abs/2107.04533 (2021) - 2020
- [b1]Muhammad Burhan Hafez:
Intrinsically Motivated Actor-Critic for Robot Motor Learning (Intrinsisch motivierter Akteur-Kritiker für Roboter-Lernen). University of Hamburg, Germany, 2020 - [j3]Muhammad Burhan Hafez, Cornelius Weber, Matthias Kerzel, Stefan Wermter:
Improving robot dual-system motor learning with intrinsically motivated meta-control and latent-space experience imagination. Robotics Auton. Syst. 133: 103630 (2020) - [i4]Muhammad Burhan Hafez, Cornelius Weber, Matthias Kerzel, Stefan Wermter:
Improving Robot Dual-System Motor Learning with Intrinsically Motivated Meta-Control and Latent-Space Experience Imagination. CoRR abs/2004.08830 (2020)
2010 – 2019
- 2019
- [j2]Muhammad Burhan Hafez, Cornelius Weber, Matthias Kerzel, Stefan Wermter:
Deep Intrinsically Motivated Continuous Actor-Critic for Efficient Robotic Visuomotor Skill Learning. Paladyn J. Behav. Robotics 10(1): 14-29 (2019) - [c5]Muhammad Burhan Hafez, Cornelius Weber, Matthias Kerzel, Stefan Wermter:
Efficient Intrinsically Motivated Robotic Grasping with Learning-Adaptive Imagination in Latent Space. ICDL-EPIROB 2019: 1-7 - [c4]Muhammad Burhan Hafez, Cornelius Weber, Matthias Kerzel, Stefan Wermter:
Curious Meta-Controller: Adaptive Alternation between Model-Based and Model-Free Control in Deep Reinforcement Learning. IJCNN 2019: 1-8 - [i3]Muhammad Burhan Hafez, Cornelius Weber, Matthias Kerzel, Stefan Wermter:
Curious Meta-Controller: Adaptive Alternation between Model-Based and Model-Free Control in Deep Reinforcement Learning. CoRR abs/1905.01718 (2019) - [i2]Muhammad Burhan Hafez, Cornelius Weber, Matthias Kerzel, Stefan Wermter:
Efficient Intrinsically Motivated Robotic Grasping with Learning-Adaptive Imagination in Latent Space. CoRR abs/1910.04729 (2019) - 2018
- [c3]Muhammad Burhan Hafez, Matthias Kerzel, Cornelius Weber, Stefan Wermter:
Slowness-based neural visuomotor control with an Intrinsically motivated Continuous Actor-Critic. ESANN 2018 - [i1]Muhammad Burhan Hafez, Cornelius Weber, Matthias Kerzel, Stefan Wermter:
Deep Intrinsically Motivated Continuous Actor-Critic for Efficient Robotic Visuomotor Skill Learning. CoRR abs/1810.11388 (2018) - 2017
- [c2]Muhammad Burhan Hafez, Cornelius Weber, Stefan Wermter:
Curiosity-driven exploration enhances motor skills of continuous actor-critic learner. ICDL-EPIROB 2017: 39-46 - 2015
- [j1]Muhammad Burhan Hafez, Chu Kiong Loo:
Topological Q-learning with internally guided exploration for mobile robot navigation. Neural Comput. Appl. 26(8): 1939-1954 (2015) - 2014
- [c1]Muhammad Burhan Hafez, Chu Kiong Loo:
Curiosity-based topological reinforcement learning. SMC 2014: 1979-1984
Coauthor Index
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