class_docstr: A policy which always returns a fixed action.
class_docstr_tok: ["A","policy","which","always","returns","a","fixed","action","."]
code: def _action(
      self, time_step, policy_state, seed
  ):  # pytype: disable=signature-mismatch  # overriding-parameter-count-checks
      del seed
      policy_info, action = self._get_policy_info_and_action(time_step)
      return policy_step.PolicyStep(action, policy_state, policy_info)
  
file_path: agents/tf_agents/policies/fixed_policy.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from typing import Optional, Text
  import tensorflow
  import tensorflow_probability
  from tf_agents.policies import tf_policy
  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 common
  from tf_agents.utils import nest_utils
label_desc: Use image node_id 4 for calling the FixedPolicy obj's underlying member method code with example usage: obj._action(time_step, policy_state, seed) and returns: policy_step