18. A computer program product stored in a computer readable storage medium, comprising computer program code that, when executed by an information handling system, causes the information handling system to perform actions 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.
18. A computer program product stored in a computer readable storage medium, comprising computer program code that, when executed by an information handling system, causes the information handling system to perform actions 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. 22. The computer program product of claim 18 wherein the one or more inspiration selections include a first inspiration selection and a second inspiration selection, and wherein the information handling system performs additional actions comprising: determining one or more first musical characteristics corresponding to the first inspiration selection; determining one or more second musical characteristics corresponding to the second inspiration selection; and loading both the one or more first musical characteristics and the one or more second musical characteristics into the environment of the reinforcement learning model, wherein the environment generates the plurality of rewards based on both the one or more first musical characteristics and the one or more second musical characteristics.