Reinforcement Learning

Reinforcement learning is a type of machine learning where an AI agent learns to make decisions by interacting with an environment. It receives rewards for good actions and penalties for bad ones, gradually developing a strategy to maximize its cumulative reward over time, much like how a pet learns tricks.