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IEEE/ICACT20220147 Slide.02        [Big Slide]	Oral Presentation
	First, centralized means that the behavior of our sub-users is unified and scheduled by a central unit, which controls them for sensing and access. Secondly, we utilize deep reinforcement learning algorithms to adjudicate access actions by the raw data captured by the current central unit, and choose different access policies according to different states. This report consists of the following four parts, which are introduction, model, simulation results and conclusion.

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