code: def __init__(self, obs_dim, act_dim, hidden_dim=256, n_hidden=2):
      super().__init__()
  
      self.l1 = nn.Linear(obs_dim, 256)
      self.l2 = nn.Linear(256, 256)
      self.mean_linear = nn.Linear(256, act_dim)
      self.log_std = nn.Parameter(
          torch.zeros(act_dim, dtype=torch.float32), requires_grad=True
      )
  
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 Actor object from inherited base classes: parl with example: obj = Actor(obs_dim, act_dim, hidden_dim, n_hidden)