AWS Certification Exam AI Practitioner (Practice Questions) set19
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Which of the following is most appropriate as the key difference between supervised learning and reinforcement learning?
①Supervised learning is the same as reinforcement learning in that it deals only with problems of maximizing rewards.
②Reinforcement learning is the same as supervised learning in that it requires large amounts of labeled data.
③Supervised learning does not interact with the environment, but reinforcement learning does not always interact with the environment.
④They are the same in that both always use the correct label as the supervisory signal.
⑤Supervised learning learns from pairs of inputs and correct outputs, whereas reinforcement learning differs in that it learns a policy through trials of actions and rewards.