A reinforcement loop is a cyclical process where an action’s outcome triggers a repeated, often amplified, response, strengthening a behavior or system. Used in machine learning to train algorithms via rewards, and in psychology for habit formation, it benefits AI developers, educators, and behavioral designers seeking sustained improvement.
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