Adaptive learning system utilizing reinforcement learning to tune hyperparameters in machine learning techniques

摘要

Systems and methods are provided in the field of Artificial Intelligence (AI) for enhancing, improving, augmenting, or tuning hyperparameters of Machine Learning (ML) techniques for creating a ML model. According to one implementation, a ML method comprises a step of using Reinforcement Learning (RL) to tune hyperparameters of one or more ML techniques. The method also includes the step of training a ML model using the one or more ML techniques in which the respective hyperparameters were tuned in the RL.