Tag: Data Augmentation

AI Machine Learning & Data Science Research

Google’s ROSIE Data Augmentation Strategy Scales Robot Learning With Semantically Imagined Experience

In a new paper Scaling Robot Learning with Semantically Imagined Experience, a team from Robotics at Google and Google Research Robot proposes Learning with Semantically Imagined Experience (ROSIE), a general and semantically-aware data augmentation strategy that leverages text-to-image models to obtain data for robot learning.

AI Machine Learning & Data Science Research

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.