activity
20202023
most citedMap-based Experience Replay: A Memory-Efficient Solution to Catastrophic Forgetting in Reinforcement Learning

17 citations · 24 across the 5 of their papers we have counts for

collaborators

5 papers

cs.RO2023

The Emotional Dilemma: Influence of a Human-like Robot on Trust and Cooperation

Dennis Becker, Diana Rueda, Felix Beese +7

Increasing anthropomorphic robot behavioral design could affect trust and cooperation positively. However, studies have shown contradicting results and suggest a task-dependent rel…

cs.LG2023★ 17 cited

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…

cs.CV2022★ 5 cited

GASP: Gated Attention For Saliency Prediction

Fares Abawi, Tom Weber, Stefan Wermter

Saliency prediction refers to the computational task of modeling overt attention. Social cues greatly influence our attention, consequently altering our eye movements and behavior.…

cs.RO2022★ 1 cited

Explain yourself! Effects of Explanations in Human-Robot Interaction

Jakob Ambsdorf, Alina Munir, Yiyao Wei +8

Recent developments in explainable artificial intelligence promise the potential to transform human-robot interaction: Explanations of robot decisions could affect user perceptions…

cs.RO2020★ 1 cited

Integrating Intrinsic and Extrinsic Explainability: The Relevance of Understanding Neural Networks for Human-Robot Interaction

Tom Weber, Stefan Wermter

Explainable artificial intelligence (XAI) can help foster trust in and acceptance of intelligent and autonomous systems. Moreover, understanding the motivation for an agent's behav…