Reinforcement Learning (RL) is an advanced machine learning technique that empowers software to make decisions by learning from its experiences. Mimicking the trial-and-error process seen in human learning, RL systems are trained to pursue the most optimal outcomes by reinforcing successful actions and disregarding those that are less effective. This method allows AI to navigate complex environments with minimal human intervention, continuously refining its strategies to achieve set goals.