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 values for the individual sub-steps
docstr_tok: ["List","of","values","for","the","individual","sub-steps"]
code: def values(self) -> List[torch.Tensor]:
      """List of values for the individual sub-steps"""
      return [cso.values 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 4 for calling the StateCriticOutput obj's underlying member method code with example usage: obj.values() and returns: unknown