A reinforcement learning-based approach for imputing missing data
A reinforcement learning-based approach for imputing missing data is a scholarly work by Saqib Ejaz Awan and Frank M Sanfilippo, published in 2022 in ''Neural Computing and Applications''. The main subjects of the publication include variance, computer science, artificial intelligence, missing data, imputation, univariate, column, reinforcement learning, connectome, statistics, machine learning, data mining, multivariate statistics, and Network analysis. The authors propose an RL-based approach to impute missing data by learning a policy to impute data through an action-reward-based experience.