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A smart city collects and analyzes details from IoT sensors and video clip cameras. In essence, it "senses" the atmosphere so that the city operator can determine how and when to consider action.Reinforcement learning uses trial and mistake to prepare algorithms and develop versions. Over the instruction course of action, algorithms operate in spec
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