code: def __init__(
      self,
      observation_space,
      action_space,
      hidden_sizes=(64, 64),
      activation=nn.Tanh,
      actor=None,
  ):
      super().__init__()
      obs_dim = observation_space.shape[0]
      self.pi = actor(
          obs_dim, action_space.shape[0], hidden_sizes, activation
      )
      self.v = MLPCritic(obs_dim, hidden_sizes, activation)
  
file_path: spinningup/spinup/exercises/pytorch/problem_set_1/exercise1_2_auxiliary.py
imports: import torch
  import torch.nn
  import numpy
label_desc: Use image node_id 1 to create a new ExerciseActorCritic object from inherited base classes: nn with example: obj = ExerciseActorCritic(observation_space, action_space, hidden_sizes, activation, actor)