class_docstr: Class to build Bernoulli Thompson Sampling policies.
code: def _variables(self):
      return self._alpha + self._beta
  
file_path: agents/tf_agents/bandits/policies/bernoulli_thompson_sampling_policy.py
imports: from typing import Optional, Sequence, Text
  import gin
  import tensorflow
  import tensorflow_probability
  from tf_agents.policies import tf_policy
  from tf_agents.policies import utils
  from tf_agents.specs import tensor_spec
  from tf_agents.trajectories import policy_step
  from tf_agents.typing import types
label_desc: Use image node_id 2 for calling the BernoulliThompsonSamplingPolicy obj's underlying member method code with example usage: obj._variables() and returns: unknown