Piano Fingering with Reinforcement Learning

Abstract

Hand and finger movements are a mainstay of piano technique. Automatic Fingering from symbolic music data allows us to simulate finger and hand movements. Previous proposals achieve automatic piano fingering based on knowledge-driven or data-driven techniques. We combine both approaches with deep reinforcement learning techniques to derive piano fingering. Finally, we explore how to incorporate past experience into reinforcement learning-based piano fingering in further work.

References in corpus (2)

• AWAC: Accelerating Online Reinforcement Learning with Offline Datasets
• Deep reinforcement learning for time series: playing idealized trading games