This survey organizes data augmentation methods for visual RL around two questions: how to produce augmented data, and how to use it during learning. It connects a unified framework, a taxonomy of methods and empirical evaluations to the challenges of sample efficiency and generalization. Read the journal publication or the arXiv summary.
The journal article appeared in 2025; the first preprint was released in 2022.