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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