#What is the merit of reinforcement learning for resource allocation problems (IoT)

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dense stream
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when it comes to resource allocation problems, reinforcement learning is always the first ML method that comes to mind. Why though?

zealous scroll
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Because there is no way to create a sensible set of data for SL. The system needs to try allocation combinations in different environmental conditions and collect the data as to whether it is a good or bad combination at the same time. This is the basic idea behind the RL problem.