Reinforcement Learning Interview Questions

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Reinforcement Learning (RL) is a powerful branch of machine learning that enables intelligent agents to learn and make sequential decisions by interacting with an environment.

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Unlike supervised learning, which relies on labeled data, and unsupervised learning, which explores unlabelled data, RL focuses on learning through trial and error, optimizing actions to maximize long-term rewards. In this article, we delve into the reasons why we use reinforcement learning and its unique capabilities in tackling complex decision-making problems.