class_docstr: Implementation of the epsilon-greedy policy.
code: def _get_initial_state(self, batch_size):
      self._random_policy.get_initial_state(batch_size=batch_size)
      return self._greedy_policy.get_initial_state(
          batch_size=batch_size
      )
  
file_path: agents/tf_agents/policies/py_epsilon_greedy_policy.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from typing import Optional
  import numpy
  from tf_agents.policies import py_policy
  from tf_agents.policies import random_py_policy
  from tf_agents.trajectories import policy_step
  from tf_agents.typing import types
label_desc: Use image node_id 2 for calling the EpsilonGreedyPolicy obj's underlying member method code with example usage: obj._get_initial_state(batch_size) and returns: self