SYSTEMS AND METHODS FOR AUTOMATED CLASSIFICATION OF SIGNAL DATA SIGNATURES

Systems and methods of the present disclosure enable automated detection of signal data signatures by receiving a first reward and a first state including a signal data signature recording having a first onset location and a first offset location. An action is performed to produce a second state with second onset and offset locations based on the first state, the first reward and a policy of a reinforcement learning agent. A discriminator machine learning model determines a match score representative of a similarity between the second state and a target distribution of a signal data signature type. A second reward is determined based on the match score and, based on the second reward exceeding a threshold, a modified signal data signature recording is produced with the signal data signature having a modified beginning and a modified end according to the second onset location and the second offset location, respectively.