DQN (Deep Q-Network)

A Deep Q-Network (DQN) is an advanced method used in artificial intelligence for teaching computers to make decisions, particularly in games or complex environments. It combines traditional Q-learning, a technique for predicting action outcomes, with deep learning, which allows the AI to understand and learn from vast amounts of data. By using a neural network, DQN can evaluate possible actions and predict their future rewards, gradually improving its strategy through experience. This approach has shown great success in playing video games and other tasks, enabling AI to learn to perform well without human guidance.