Q-Learning

Q-Learning is a model-free reinforcement learning algorithm that learns a quality value (Q-value) for each state-action pair. It updates these values based on the reward received and the maximum future reward possible from the next state, following the Bellman equation. The algorithm converges to the optimal policy without requiring a model of the environment.

Game playing agents, robotic control systems, traffic light control, energy management systems