SYNTHETIC DATA GENERATION USING DEEP REINFORCEMENT LEARNING

Systems and method for deep reinforcement learning are provided. The method includes generating, by a first neural network implemented on a processor, a synthetic data set based on an original data set, providing the original data set and the generated synthetic data set to a second neural network implemented on the processor, generating, by the second neural network, a prediction identifying the original data set and the generated synthetic data set, and based at least in part on the prediction incorrectly identifying the generated synthetic data set, exporting the generated synthetic data set.