DeepMind’s ‘Expert-Aware’ Data Augmentation Technique Enables Data-Efficient Learning from Parametric Experts | Synced

The new DeepMind paper Data Augmentation for Efficient Learning from Parametric Experts proposes Augmented Policy Cloning (APC), a simple yet effective data-augmentation approach designed to support data-efficient learning from parametric experts. The method significantly improves data efficiency across various control and reinforcement learning settings.