Machine Learning Approaches For Motor Learning: A Short Review

no code implementations • 11 Feb 2020 • Baptiste Caramiaux, Jules Françoise, Wanyu Liu, Téo Sanchez, Frédéric Bevilacqua

Machine learning approaches have seen considerable applications in human movement modeling, but remain limited for motor learning.

BIG-bench Machine Learning Meta-Learning +2

Designing Deep Reinforcement Learning for Human Parameter Exploration

no code implementations • 1 Jul 2019 • Hugo Scurto, Bavo Van Kerrebroeck, Baptiste Caramiaux, Frédéric Bevilacqua

We describe a series of user-centred studies to probe the creative benefits of these agents and adapting their design to exploration.

reinforcement-learning Reinforcement Learning (RL)

AI in the media and creative industries

no code implementations • 10 May 2019 • Giuseppe Amato, Malte Behrmann, Frédéric Bimbot, Baptiste Caramiaux, Fabrizio Falchi, Ander Garcia, Joost Geurts, Jaume Gibert, Guillaume Gravier, Hadmut Holken, Hartmut Koenitz, Sylvain Lefebvre, Antoine Liutkus, Fabien Lotte, Andrew Perkis, Rafael Redondo, Enrico Turrin, Thierry Vieville, Emmanuel Vincent

Thanks to the Big Data revolution and increasing computing capacities, Artificial Intelligence (AI) has made an impressive revival over the past few years and is now omnipresent in both research and industry.

The Machine Learning Algorithm as Creative Musical Tool

no code implementations • 1 Nov 2016 • Rebecca Fiebrink, Baptiste Caramiaux

In this chapter we draw on music, machine learning, and human-computer interaction to elucidate an understanding of machine learning algorithms as creative tools for music and the sonic arts.

BIG-bench Machine Learning