1. A method implemented by an information handling system that includes a memory and a processor, the method comprising: configuring a reinforcement learning model based on one or more inspiration selections received from a user, wherein the configuring comprises loading one or more musical characteristics corresponding to the one or more inspiration selections into an environment of the reinforcement learning model; performing a plurality of training iterations using the configured reinforcement learning model wherein, during the plurality of training iterations, the reinforcement learning model generates a plurality of actions and a plurality of rewards corresponding to the plurality of actions based on the one or more musical characteristics loaded into the environment; and generating a musical composition based on the plurality of actions in response to determining that the plurality of rewards reach an empirical threshold.
9. The method of claim 1 further comprising: receiving feedback from the user subsequent to the user listening to the musical composition; re-configuring the reinforcement learning model based on the feedback; and generating a subsequent musical composition using the reconfigured reinforcement learning model.