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)

Emergence of synchrony in an Adaptive Interaction Model

no code implementations • 18 Jun 2015 • Kevin Sanlaville, Gérard Assayag, Frédéric Bevilacqua, Catherine Pelachaud

In a Human-Computer Interaction context, we aim to elaborate an adaptive and generic interaction model in two different use cases: Embodied Conversational Agents and Creative Musical Agents for musical improvisation.