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

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.

ai artificial intelligence augmentation data data-augmentation deepmind deep-neural-networks expert experts machine learning machine learning & data science ml parametric reinforcement learning research technology