code: def __init__(self, critic_in_dim):
      super(CriticModel, self).__init__()
      hid1_size = 64
      hid2_size = 64
      out_dim = 1
      self.fc1 = nn.Linear(critic_in_dim, hid1_size)
      self.fc2 = nn.Linear(hid1_size, hid2_size)
      self.fc3 = nn.Linear(hid2_size, out_dim)
      self.apply(weights_init_)
  
file_path: PARL/benchmark/torch/maddpg/simple_model.py
imports: import parl
  import torch
  import torch.nn
  import torch.nn.functional
label_desc: Use image node_id 1 to create a new CriticModel object from inherited base classes: parl with example: obj = CriticModel(critic_in_dim)