Reinforcement is a fundamental principle in behavioral psychology and machine learning, where it is used to increase the likelihood of a desired behavior or outcome by administering a reward or punishment. It is central to reinforcement learning, a type of machine learning where agents learn optimal actions through trial and error interactions with an environment.