Designing Deep Reinforcement Learning for Human Parameter Exploration

Scurto Hugo
Scurto Hugo
Van Kerrebroeck Bavo
Van Kerrebroeck Bavo
Bevilacqua Frédéric
Bevilacqua Frédéric

ACM Trans. Comput. Hum. Interact., pp. 1-35, 2021.

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Abstract:

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 paper, we propose to investigate artificial agents using deep reinforcement learning to explore parameter spaces in partnership with users for sound design. W...More

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