text: import torch
  import torch.nn as nn
  
  class QNetwork(nn.Module):
      """Actor (Policy) Model."""
  
      def __init__(self, state_size, action_size, seed, hidden_dims=[64,64]):
          """Initialize parameters and build model.
          Params
          ======
              state_size (int): Dimension of each state
              action_size (int): Dimension of each action
              seed (int): Random seed
          """
          super(QNetwork, self).__init__()
          self.seed = torch.manual_seed(seed)
          "*** YOUR CODE HERE ***"
          self.network = nn.Sequential(
              nn.Linear(state_size, hidden_dims[0]),
              nn.ReLU(),
              nn.Linear(hidden_dims[0], hidden_dims[1]),
              nn.ReLU(),
              nn.Linear(hidden_dims[1], action_size)
          )
  
      def forward(self, state):
          """Build a network that maps state -> action values."""
          return self.network(state)
  