class_docstr: Returns epsilon-greedy samples of a given policy.
code: def _distribution(self, time_step, policy_state):
      raise NotImplementedError(
          "EpsilonGreedyPolicy does not support distributions yet."
      )
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from typing import Optional, Sequence, Text
  import gin
  import tensorflow
  import tensorflow_probability
  from tf_agents.policies import greedy_policy
  from tf_agents.policies import random_tf_policy
  from tf_agents.policies import tf_policy
  from tf_agents.policies import utils
  from tf_agents.trajectories import policy_step
  from tf_agents.typing import types
  from tf_agents.utils import nest_utils
label_desc: Use image node_id 6 for calling the EpsilonGreedyPolicy obj's underlying member method code with example usage: obj._distribution(time_step, policy_state) without return types