ReCom: A deep reinforcement learning approach for semi-supervised tabular data labeling

Guy Zaks, Gilad Katz

Abstract: Highlights•RecCom, a framework for deep reinforcement learning-based co-training.•Learns across multiple datasets, enabling zero-shot learning for new datasets.•Average error reduction of up to 66% compared to the baselines.