Reinforcement Learning is a type of Artificial Intelligence (AI) training that involves training a machine to take actions in a specific environment in order to achieve a certain goal. It involves giving the computer rewards or punishments for certain actions in order to teach it how to make decisions that lead to the desired outcome. This is often done through trial and error, with the computer learning from its mistakes and adjusting its behavior accordingly. In this way, reinforcement learning allows AI systems to learn and adapt to new situations and environments, making them more versatile and efficient.
