This repository implements a Deep Q-Network (DQN) for training agents to play Atari games. It uses TensorFlow to build a convolutional neural network that learns Q-values through experience replay (to decorrelate updates) and fixed target networks (to stabilize training). The implementation supports gym environments and includes variants like Dueling DQN and Double DQN (DDQN).