Reinforcement Learning

Reinforcement learning is a type of machine learning where an algorithm (called an agent) learns to make decisions by interacting with an environment. The agent receives feedback in the form of rewards or penalties and aims to maximize the cumulative reward over time. Reinforcement learning is often used in robotics, game playing, and control systems.