docstr: Return the list of variables for the policy net.
docstr_tok: ["Return","the","list","of","variables","for","the","policy","net","."]
code: def policy_variables(
      self, as_dict: bool = False
  ) -> Union[List[TensorType], Dict[str, TensorType]]:
      """Return the list of variables for the policy net."""
      if as_dict:
          return self.actor_model.state_dict()
      return list(self.actor_model.parameters())
  
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 8 for calling the CRRModel obj's underlying member method code with example usage: obj.policy_variables(as_dict) and returns: list, self