Before revision:  RL is a framework for decision-making problems in which an agent interacts through trial-and-error with its environment to discover an optimal behavior.
After revision:  Reinforcement learning is a framework for decision-making problems in which an agent interacts through trial-and-error with its environment to discover an optimal behavior.