class_docstr: DiscreteQFArgmax policy.
  
  Args:
      env_spec (garage.envs.env_spec.EnvSpec): Environment specification.
      qf (garage.q_functions.QFunction): The q-function used.
      name (str): Name of the policy.
code: def _initialize(self):
      # pylint: disable=protected-access
      self._f_qval = tf.compat.v1.get_default_session().make_callable(
          self._qf.q_vals, feed_list=[self._qf.input]
      )
  
imports: import akro
  import numpy
  import tensorflow
  from garage.tf.models import Module
  from garage.tf.policies.policy import Policy
label_desc: Use image node_id 2 for calling the DiscreteQFArgmaxPolicy obj's underlying member method code with example usage: obj._initialize() without return types