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Reinforcement Studying is a Studying strategy in which an AI agent learns to connect with an atmosphere and improve its actions to accomplish a particular intention or optimize a reward. Via a demo-and-error procedure, the agent receives comments in the form of benefits or penalties based on its actions.
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