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.
docstr: List of actor IDs for the individual sub-steps.
docstr_tok: ["List","of","actor","IDs","for","the","individual","sub-steps","."]
code: def actor_ids(self) -> List[ActorID]:
      """List of actor IDs for the individual sub-steps."""
      return [cso.actor_id for cso in self._step_critic_outputs]
  
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 3 for calling the StateCriticOutput obj's underlying member method code with example usage: obj.actor_ids() and returns: unknown