This repository implements the Rainbow algorithm, which integrates seven key improvements to Deep Q-Networks: Double DQN, Prioritised Experience Replay, Dueling Networks, Multi-step Returns, Distributional RL, and Noisy Nets. It uses PyTorch as the deep learning framework and is designed to train reinforcement learning agents on Atari games. The project includes both the original Rainbow configuration and a data-efficient variant.