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20192025
most citedDesigning Deep Reinforcement Learning for Human Parameter Exploration

28 citations

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cs.HC2025

Combining Human-centred Explainability and Explainable AI

Janin Koch, Vitor Fortes Rey

This position paper looks at differences between the current understandings of human-centered explainability and explainability AI. We discuss current ideas in both fields, as well…

cs.HC2019★ 28 cited

Designing Deep Reinforcement Learning for Human Parameter Exploration

Hugo Scurto, Bavo Van Kerrebroeck, Baptiste Caramiaux +1

Software tools for generating digital sound often present users with high-dimensional, parametric interfaces, that may not facilitate exploration of diverse sound designs. In this…