class_docstr: Returns actions from the given configuration.
class_docstr_tok: ["Returns","actions","from","the","given","configuration","."]
code: def _get_initial_state(self, batch_size):
      del batch_size
      # We use the state to keep track of the action index to execute and to count
      # how many times it has been performed.
      return [0, 0]
  
file_path: agents/tf_agents/policies/scripted_py_policy.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from typing import Optional, Sequence, Tuple
  from absl import logging
  import numpy
  from tf_agents.policies import py_policy
  from tf_agents.specs import array_spec
  from tf_agents.trajectories import policy_step
  from tf_agents.trajectories import time_step
  from tf_agents.typing import types
  from tensorflow.python.util import nest
label_desc: Use image node_id 2 for calling the ScriptedPyPolicy obj's underlying member method code with example usage: obj._get_initial_state(batch_size) and returns: list