{"id":830,"date":"2022-03-07T19:28:00","date_gmt":"2022-03-07T18:28:00","guid":{"rendered":"https:\/\/hugoscurto.com\/?post_type=jetpack-portfolio&p=830"},"modified":"2025-07-02T20:10:30","modified_gmt":"2025-07-02T19:10:30","slug":"co-explorer","status":"publish","type":"jetpack-portfolio","link":"https:\/\/hugoscurto.com\/fr\/portfolio\/co-explorer\/","title":{"rendered":"Co-Explorer"},"content":{"rendered":"
Hugo Scurto et al.<\/em>, 2019
\nMax\/MSP, Python, deep reinforcement learning
\n<\/strong><\/span><\/h6>\n

An interactive AI that support sound exploration through positive or negative feedback. It uses deep reinforcement learning algorithm to autonomously explore sounds while interactively learning a person’s preferences. It supports a variety of human-AI interactions designed to balance agencies<\/a> along exploration. The Co-Explorer<\/em> lies at the heart of the \u00e6go<\/a><\/em> performance, and was applied to visuals in other artworks (see Tr\u00ebma<\/a><\/em> by V. Drouin & D. Perreault).<\/p>\n

Designed collaboratively with sound artists.<\/h6>\n
Year<\/span><\/strong>
\n2019<\/h6>\n
Credits<\/span><\/strong>
\nThe project was developed with Bavo Van Kerrebroeck, Baptiste Caramiaux, and Fr\u00e9d\u00e9ric Bevilacqua in collaboration with the ISMM<\/a> group of IRCAM<\/a> and the ex)situ<\/a> team of LRI<\/a> (INRIA), in the context of a PhD thesis at Sorbonne Universit\u00e9<\/a>.<\/h6>\n
Publication<\/span><\/strong>
\nArticle at ACM TOCHI<\/a> (2021)<\/h6>\n
Events<\/span><\/strong>
\nExhibition @ HMC 2022 (Dec.02.2022)
\nWorkshops @ Ircam (Jul.19.2018)
\nExhibition @ ISMIR 2018<\/a> (Sep.24.2018)<\/h6>\n
Code<\/span><\/strong>
\nGitHub<\/a><\/h6>\n