reinforcement_q_learning.py 文件源码

def forward(self, x):
        x = F.relu(self.bn1(self.conv1(x)))
        x = F.relu(self.bn2(self.conv2(x)))
        x = F.relu(self.bn3(self.conv3(x)))
        return self.head(x.view(x.size(0), -1))


######################################################################
# Input extraction
# ^^^^^^^^^^^^^^^^
#
# The code below are utilities for extracting and processing rendered
# images from the environment. It uses the ``torchvision`` package, which
# makes it easy to compose image transforms. Once you run the cell it will
# display an example patch that it extracted.
#