Translation: Reinforcement learning is a type of machine learning in which a system tries actions, receives feedback in the form of rewards or penalties, and uses that feedback to adjust its behaviour over time. The aim is to find a sequence of actions that leads to the highest overall reward. Examples include systems that learn to play games by improving their moves based on scores, and robots that adjust their actions to navigate a space.