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You're designing an AI-driven system that dynamically adapts its strategy by interacting with its environment, receiving feedback in the form of rewards or penalties, and refining its actions over time based on those outcomes. Which AI paradigm is most suitable for enabling this type of continuous, feedback-based learning?