11. An information handling system comprising: one or more processors; a memory coupled to at least one of the processors; a set of computer program instructions stored in the memory and executed by at least one of the processors in order to perform actions of: configuring a reinforcement learning model based on one or more inspiration selections received from a user, each of the one or more inspiration selections corresponding to one or more musical characteristics, wherein the configuring further comprises: determining one or more emotion characteristics of one or more songs corresponding to at least one of the one or more inspiration selections; displaying one or more emotion objects to the user on a display, each of the one or more emotion objects corresponding to one of the one or more emotion characteristics; receiving at least one emotion object adjustment from the user that adjusts a size of at least one of the one or more emotion objects; adjusting at least one of the one or more musical characteristics based on the emotion object adjustment; and loading the at least one adjusted musical characteristic into an environment in the reinforcement learning model to adjust a reward structure of the environment; performing a plurality of training iterations using the configured reinforcement learning model, wherein the plurality of training iterations generate a plurality of actions and the environment generates a plurality of rewards corresponding to the plurality of actions; and generating a musical composition based on the plurality of actions in response to determining that the plurality of rewards reach an empirical threshold.
11. An information handling system comprising: one or more processors; a memory coupled to at least one of the processors; a set of computer program instructions stored in the memory and executed by at least one of the processors in order to perform actions of: configuring a reinforcement learning model based on one or more inspiration selections received from a user, each of the one or more inspiration selections corresponding to one or more musical characteristics, wherein the configuring further comprises: determining one or more emotion characteristics of one or more songs corresponding to at least one of the one or more inspiration selections; displaying one or more emotion objects to the user on a display, each of the one or more emotion objects corresponding to one of the one or more emotion characteristics; receiving at least one emotion object adjustment from the user that adjusts a size of at least one of the one or more emotion objects; adjusting at least one of the one or more musical characteristics based on the emotion object adjustment; and loading the at least one adjusted musical characteristic into an environment in the reinforcement learning model to adjust a reward structure of the environment; performing a plurality of training iterations using the configured reinforcement learning model, wherein the plurality of training iterations generate a plurality of actions and the environment generates a plurality of rewards corresponding to the plurality of actions; and generating a musical composition based on the plurality of actions in response to determining that the plurality of rewards reach an empirical threshold. 15. The information handling system of claim 11 wherein the one or more inspiration selections include a first inspiration selection and a second inspiration selection, and wherein the processors perform 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.