Reinforcement Learning Methods for Computing Offloading: A Systematic Review

What is it about?

One of the machine learning methods that has been very popular among researchers in recent years is Reinforcement Learning (RL). Its most important advantage is the use of experiences gained from the environment for the agent. This is exactly the way a human learns. If we do something bad, we will be punished. In this way, we understand that we should not repeat that work in the future. Reinforcement learning is exactly that. In this systematic review, we address the most important RL research in edge/fog/cloud networks.

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Photo by imgix on Unsplash

Photo by imgix on Unsplash

Why is it important?

RL is exactly the way that a human being learns based on the experiences gained from the environment. It is based on punishment/reward. This learning method has been proven to be more effective than supervised learning methods.

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