models/decision_agent.py

import torch
import torch.nn as nn

class DecisionAgent(nn.Module):
    def __init__(self, config):
        super(DecisionAgent, self).__init__()
        self.fc_layers = nn.Sequential(
            nn.Linear(config["perception_output_size"], 128),
            nn.ReLU(),
            nn.Linear(128, config["decision_output_size"])
        )

    def forward(self, x):
        x = self.fc_layers(x)
        return x