Reinforcement Learning (RL) is a machine learning technique in which an AI model learns by interacting with an environment and receiving rewards or penalties for its actions.
Voice AI researchers use Reinforcement Learning to improve dialogue strategies, task completion, and conversational decision-making, particularly in autonomous AI agents and adaptive systems.