class_docstr: A policy which always returns the configured distribution.
class_docstr_tok: ["A","policy","which","always","returns","the","configured","distribution","."]
code: def _variables(self):
      return []
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from absl.testing import parameterized
  import numpy
  import tensorflow
  import tensorflow_probability
  from tf_agents.policies import greedy_policy
  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.utils import test_utils
label_desc: Use image node_id 4 for calling the DistributionPolicy obj's underlying member method code with example usage: obj._variables() and returns: list