This repository provides clean, modularized implementations of popular deep RL algorithms including DQN variants, policy gradient methods (A2C, PPO), off-policy methods (DDPG, TD3), and the Option-Critic architecture. It supports training agents in both Atari games and continuous control tasks (MuJoCo). The library uses asynchronous actors for data generation and asynchronous replay buffers for GPU utilization.