A comprehensive tutorial series walking through the evolution of Deep Q-Networks, starting from basic DQN and progressing through Double DQN, Dueling Networks, Prioritized Experience Replay, Noisy Networks, Distributional RL, and the Rainbow agent. Implemented in PyTorch with clean, readable code as educational resources for learning deep RL.