code: def __init__(self, obs_dim, action_dim):
      super(Critic, self).__init__()
      # Q1 network
      self.l1 = nn.Linear(obs_dim + action_dim, 256)
      self.l2 = nn.Linear(256, 256)
      self.last_fc1 = nn.Linear(256, 1)
  
      # Q2 network
      self.l4 = nn.Linear(obs_dim + action_dim, 256)
      self.l5 = nn.Linear(256, 256)
      self.last_fc2 = nn.Linear(256, 1)
  
imports: from cmath import log
  import parl
  import torch
  import torch.nn
  import torch.nn.functional
label_desc: Use image node_id 1 to create a new Critic object from inherited base classes: parl with example: obj = Critic(obs_dim, action_dim)