Reinforcement Learning

Reinforcement Learning is a type of machine learning where an agent learns to make decisions by interacting with an environment. It receives feedback in the form of rewards or penalties based on its actions, allowing it to develop a strategy that maximizes cumulative rewards over time. This process involves exploration of various actions and exploitation of known rewarding strategies to improve performance.