It seems there's a typo in the technology name. Assuming you meant "Reinforcement Learning" (RL), it's a type of machine learning technique that enables an agent to learn in an interactive environment by trial and error using feedback from its own actions and experiences. RL is commonly used in robotics, game playing (like Go or Chess), autonomous driving, and recommendation systems.
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