class_docstr: Class to build Actor Policies.
code: def _variables(self):
      return self._actor_network.variables
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from typing import Optional, Text
  import gin
  import tensorflow
  import tensorflow_probability
  from tf_agents.distributions import utils
  from tf_agents.networks import network
  from tf_agents.policies import tf_policy
  from tf_agents.specs import tensor_spec
  from tf_agents.trajectories import policy_step
  from tf_agents.trajectories import time_step
  from tf_agents.typing import types
  from tf_agents.utils import tensor_normalizer
label_desc: Use image node_id 4 for calling the ActorPolicy obj's underlying member method code with example usage: obj._variables() and returns: self