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In Reinforcement Learning, an agent learns to connect with an atmosphere by carrying out steps and receiving benefits or penalties dependant on its actions.Connecting up each one of these distinct objects and including sensors to them adds a volume of digital intelligence to devices that could be normally dumb, enabling them to speak actual-time da