Time-sensitive network communication flow scheduling method based on deep reinforcement learning
A technology of reinforcement learning and network communication, applied in the field of time-sensitive network communication flow scheduling based on deep reinforcement learning, to achieve the effect of reducing computing time and increasing practicability
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[0030] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.
[0031] see Figure 1-8 , the present invention provides a technical solution: a time-sensitive network communication flow scheduling method based on deep reinforcement learning, the steps of which are as follows:
[0032] Step 1: Ensure the overall construction foundation, arrange the neural network and strengthen the learning. In a neural network, an x is usually defined as the input x∈X D , this x is sampled from the real distribution, using f...
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