53 citations · 239 across the 41 of their papers we have counts for
17 papers · 1 filter
Explainable Lifelong Stream Learning Based on "Glocal" Pairwise Fusion
Chu Kiong Loo, Wei Shiung Liew, Stefan Wermter
Real-time on-device continual learning applications are used on mobile phones, consumer robots, and smart appliances. Such devices have limited processing and memory storage capabi…
Map-based Experience Replay: A Memory-Efficient Solution to Catastrophic Forgetting in Reinforcement Learning
Muhammad Burhan Hafez, Tilman Immisch, Tom Weber +1
Deep Reinforcement Learning agents often suffer from catastrophic forgetting, forgetting previously found solutions in parts of the input space when training on new data. Replay Me…
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…
A Closer Look at Reward Decomposition for High-Level Robotic Explanations
Wenhao Lu, Xufeng Zhao, Sven Magg +3
Explaining the behaviour of intelligent agents learned by reinforcement learning (RL) to humans is challenging yet crucial due to their incomprehensible proprioceptive states, vari…
Sample-efficient Real-time Planning with Curiosity Cross-Entropy Method and Contrastive Learning
Mostafa Kotb, Cornelius Weber, Stefan Wermter
Model-based reinforcement learning (MBRL) with real-time planning has shown great potential in locomotion and manipulation control tasks. However, the existing planning methods, su…
FaVoA: Face-Voice Association Favours Ambiguous Speaker Detection
Hugo Carneiro, Cornelius Weber, Stefan Wermter
The strong relation between face and voice can aid active speaker detection systems when faces are visible, even in difficult settings, when the face of a speaker is not clear or w…