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Table 2 Algorithm parameters

From: Dynamic handoff policy for RAN slicing by exploiting deep reinforcement learning

Parameter

Value

Number of input neurons

8

Number of hidden neurons

25

Number of output neurons

1

Learning rate

0.001

Exploration parameter ε

0.1

C

5

discount factor γ

0.9