17 citations · 35 across the 5 of their papers we have counts for
5 papers
Continual Deep Reinforcement Learning with Task-Agnostic Policy Distillation
Muhammad Burhan Hafez, Kerim Erekmen
Central to the development of universal learning systems is the ability to solve multiple tasks without retraining from scratch when new data arrives. This is crucial because each…
Continual Robot Learning using Self-Supervised Task Inference
Muhammad Burhan Hafez, Stefan Wermter
Endowing robots with the human ability to learn a growing set of skills over the course of a lifetime as opposed to mastering single tasks is an open problem in robot learning. Whi…
Model Predictive Control with Self-supervised Representation Learning
Jonas Matthies, Muhammad Burhan Hafez, Mostafa Kotb +1
Over the last few years, we have not seen any major developments in model-free or model-based learning methods that would make one obsolete relative to the other. In most cases, th…
Learning Bidirectional Action-Language Translation with Limited Supervision and Incongruent Input
Ozan Özdemir, Matthias Kerzel, Cornelius Weber +4
Human infant learning happens during exploration of the environment, by interaction with objects, and by listening to and repeating utterances casually, which is analogous to unsup…
Impact Makes a Sound and Sound Makes an Impact: Sound Guides Representations and Explorations
Xufeng Zhao, Cornelius Weber, Muhammad Burhan Hafez +1
Sound is one of the most informative and abundant modalities in the real world while being robust to sense without contacts by small and cheap sensors that can be placed on mobile…