Generalization

A policy's ability to perform correctly on inputs not seen during training: new objects, environments, lighting conditions, or task variations. Generalization is the central challenge in robot learning — policies easily overfit to training conditions. Techniques for improving generalization include data augmentation, domain randomization, pre-trained representations, and diverse training data.