What is reinforcement learning?

Reinforcement learning is a training approach where an AI agent learns by trial and error, receiving rewards for good actions and penalties for bad ones. Over many attempts it discovers a strategy that maximizes its reward. It is well suited to problems involving sequences of decisions, such as game playing, robotics, and controlling systems, and is also used to align language models with human preferences.