class_docstr: An agent with a fixed policy and no learning.
class_docstr_tok: ["An","agent","with","a","fixed","policy","and","no","learning","."]
code: def _initialize(self):
      pass
  
file_path: agents/tf_agents/agents/random/fixed_policy_agent.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from typing import Callable, Optional, Text, Union
  import gin
  import tensorflow.compat.v2
  import tf_agents.agents.tf_agent
  from tf_agents.policies import py_policy
  from tf_agents.policies import tf_policy
  from tf_agents.trajectories import time_step
  from tf_agents.typing import types
label_desc: Use image node_id 2 for calling the FixedPolicyAgent obj's underlying member method code with example usage: obj._initialize() without return types