class_docstr: Critic output holds the output of a critic for one full flat env step.
  
  Individual CriticStepOutputs are stored in a list which can be (if needed) referenced to the corresponding ActorID.
code: def __init__(self):
      self._step_critic_outputs: List[StateCriticStepOutput] = list()
  
imports: import dataclasses
  from typing import List, Sequence, Dict
  import torch
  from maze.core.agent.torch_policy_output import PolicySubStepOutput, PolicyOutput
  from maze.core.env.observation_conversion import TorchObservationType
  from maze.core.env.structured_env import ActorID
  from maze.core.trajectory_recording.records.structured_spaces_record import StructuredSpacesRecord
label_desc: Use image node_id 1 to create a new StateCriticOutput object  with example: obj = StateCriticOutput()