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Poster De Conférence Année : 2018

Riding the Co-Explorers

Résumé

We demonstrate Co-Explorers, a set of interactive agents that collaborate with users in musical space exploration. It implements an interactive reinforcement learning workflow, in which users can guide navigation by giving positive or negative feedback to the agent. It uses a deep reinforcement learning algorithm that optimizes agent exploration toward parts of space that might be of interest for users. Co-Explorers are independent of the type of space explored; the installation that we propose invites attendees to immerse themselves into collaborative sound space exploration.
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Dates et versions

hal-02043110 , version 1 (20-02-2019)

Identifiants

  • HAL Id : hal-02043110 , version 1

Citer

Hugo Scurto, Bavo van Kerrebroeck, Frédéric Bevilacqua. Riding the Co-Explorers. 19th International Society for Music Information Retrieval Conference (ISMIR 2018), Sep 2018, Paris, France. Proceedings of the 19th International Society for Music Information Retrieval Conference, ISMIR 2018. ⟨hal-02043110⟩
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