Reinforcement Learning with Time-dependent Goals for Robotic Musicians

Understand

Reinforcement learning is a promising method to accomplish robotic control tasks.

• The task of playing musical instruments is, however, largely unexplored because it involves the challenge of achieving sequential goals - melodies - that have a temporal dimension.
• In this paper, we address robotic musicianship by introducing a temporal extension to goal-conditioned reinforcement learning: Time-dependent goals.
• We demonstrate that these can be used to train a robotic musician to play the theremin instrument.