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Table 2 Parameters in ACGOP and ACGP

From: Actor-critic learning-based energy optimization for UAV access and backhaul networks

Parameters

Actor

Critic

Number of hidden layers

3

3

Number of nodes/layer

300

300

Activation function (hidden layers)

ReLU

ReLU

Activation function (output layer)

Sigmoid

None

Learning rate \(\rho\)

0.001

0.001

Loss function

Eq. (24)

Eq. (25)

Optimizer

Adam

Adam

Batch size

64

64

Discount factor \(\gamma\)

0.9

Size of repository

10,000 tuples

Number of learning episodes

400

Software platform

Python 3.6 with

TensorFlow 0.12.1