Error-Driven Learning - What is the learning methodology where the model learns through a trial and error method?

A potent method for learning optimum behaviors through environment-dependent trial-and-error interactions is Reinforcement Learning (RL). Rewards allow RL agents to learn from their mistakes and adjust their behavior to maximize their cumulative rewards.