Reinforcement Learning Jazz Improvisation: When Music Meets Game Theory

arXiv:2403.03224v1 Announce Type: cross
Abstract: Live performances of music are always charming, with the unpredictability of improvisation due to the dynamic between musicians and interactions with the audience. Jazz improvisation is a particularly noteworthy example for further investigation from a theoretical perspective. Here, we introduce a novel mathematical game theory model for jazz improvisation, providing a framework for studying music theory and improvisational methodologies. We use computational modeling, mainly reinforcement learning, to explore diverse stochastic improvisational strategies and their paired …

abstract arxiv audience cs.ai cs.lg cs.sd dynamic eess.as example game game theory interactions investigation jazz music musicians novel performances perspective physics.soc-ph reinforcement reinforcement learning theory type