Instruction: Discuss how reinforcement learning differs from supervised learning and where they might share similarities.
Context: This question assesses the candidate's understanding of different learning paradigms in machine learning and their ability to compare and contrast them.
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The way I'd explain it in an interview is this: Both reinforcement learning and supervised learning use data to improve decisions, but they differ in what feedback looks like. In supervised learning, the model sees the correct label for each example. In reinforcement learning, the system learns...