docstr: Return the list of variables for Q / twin Q nets.
docstr_tok: ["Return","the","list","of","variables","for","Q","\/","twin","Q","nets","."]
code: def q_variables(
      self, as_dict=False
  ) -> Union[List[TensorType], Dict[str, TensorType]]:
      """Return the list of variables for Q / twin Q nets."""
      if as_dict:
          return {
              **self.q_model.state_dict(),
              **(
                  self.twin_q_model.state_dict()
                  if self.twin_q_model
                  else {}
              ),
          }
      return list(self.q_model.parameters()) + (
          list(self.twin_q_model.parameters())
          if self.twin_q_model
          else []
      )
  
imports: from typing import Dict, List, Union
  import gymnasium
  import numpy
  from ray.rllib.models.torch.misc import SlimFC
  from ray.rllib.models.torch.torch_modelv2 import TorchModelV2
  from ray.rllib.models.utils import get_activation_fn
  from ray.rllib.utils.framework import try_import_torch
  from ray.rllib.utils.typing import ModelConfigDict, TensorType
label_desc: Use image node_id 9 for calling the CRRModel obj's underlying member method code with example usage: obj.q_variables(as_dict) and returns: unknown, dict