class_docstr: State Critic output defined as it's own type, since it has to be explicitly build to be compatible with shared
  embedding networks.
code: def __init__(self):
      self._step_critic_inputs = 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 StateCriticInput object  with example: obj = StateCriticInput()