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Found 3 papers, 1 papers with code
Generating Piano Practice Policy with a Gaussian Process
Because we each learn differently and there are many choices for possible piano practice tasks and methods, the set of practice modes should be dynamically adapted to the human learner, a process typically guided by a teacher.
Optimizing piano practice with a utility-based scaffold
Ideally, a focus on a particular practice method should be made in a way to maximize the learner's progress in learning to play the piano.
Learning efficient haptic shape exploration with a rigid tactile sensor array
In the present work, we connect recent advances in recurrent models of visual attention with previous insights about the organisation of human haptic search behavior, exploratory procedures and haptic glances for a novel architecture that learns a generative model of haptic exploration in a simulated three-dimensional environment.
