This repository implements the DrQ algorithm from the paper Image Augmentation Is All You Need. It provides a model-free reinforcement learning agent using actor-critic methods with data augmentation for regularization. The implementation trains on pixel-based inputs using the DM Control and Gym environments with MuJoCo physics simulation, achieving state-of-the-art performance on continuous control tasks.