Reinforcement Learning is a machine learning paradigm where an agent learns to make decisions by taking actions in an environment to maximize cumulative reward through trial-and-error interactions and feedback.
Sources:
- Sutton and Barto: Reinforcement Learning: An Introduction
- OpenAI: Introduction to Reinforcement Learning