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In Reinforcement Learning (RL) agents are trained on a reward and punishment mechanism. The agent is rewarded for correct moves and punished for the wrong ones. In real-world applications, RL can be used in text summarization, question answering, and machine translation just to mention a few. In this article, we’ll look at some of the real world applications of reinforcement learning. We’ve.ai has successfully applied reinforcement learning to training a car on how to drive in a day.