IEEE/ICACT20240309 Slide.08        [Big Slide]       Oral Presentation
Alauthman et al. employ the output of a supervised learning model as the state in the reinforcement learning model, both the SL and RL model are improving through this interaction. This method has a good accuracy rate when the input data is reduced in the model, leading to reduced training time. However, it has been validated in MATLAB using three datasets and has not been implemented in a real network.

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