Create models/perception_agent.py

models/perception_agent.py

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+import torch
+import torch.nn as nn
+
+class PerceptionAgent(nn.Module):
+    def __init__(self, config):
+        super(PerceptionAgent, self).__init__()
+        self.cnn_layers = nn.Sequential(
+            nn.Conv2d(3, 16, kernel_size=3, stride=1, padding=1),
+            nn.ReLU(),
+            nn.MaxPool2d(kernel_size=2, stride=2),
+            # Additional layers can be defined based on config
+        )
+        self.fc_layers = nn.Sequential(
+            nn.Linear(16 * 32 * 32, 256),
+            nn.ReLU(),
+            nn.Linear(256, config["perception_output_size"])
+        )
+
+    def forward(self, x):
+        x = self.cnn_layers(x)
+        x = x.view(x.size(0), -1)
+        x = self.fc_layers(x)
+        return x