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 |