In this section, we will start implementing a simple neural network using PyTorch's neural network module and then look at how we can use that to replace the multi-dimensional array-based Q action-value table-like function.
Let's start with the neural network implementation. The following code illustrates how you can implement a Single Layer Perceptron (SLP) using PyTorch:
import torchclass SLP(torch.nn.Module): """ A Single Layer Perceptron (SLP) class to approximate functions """ def __init__(self, input_shape, output_shape, device=torch.device("cpu")): """ :param input_shape: Shape/dimension of the input :param output_shape: Shape/dimension of the output :param device: The device (cpu or ...
