Reinforcement Learning (RL) is the closed-form of learning. Just like a human being, who learns from his experience in the real world, keeps exploring new things, and updates his values and beliefs, the RL agent works on a similar principle to maximize its own rewards in the long run. It consists of an intelligent agent that interacts with its environment smartly to reap a reward.
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