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.
docstr: Get all network weight variables in the current scope.
  
  Returns:
      List[tf.Variable]: A list of network weight variables in the
          current variable scope.
docstr_tok: ["Get","all","network","weight","variables","in","the","current","scope",".","Returns",":","List","[","tf.Variable","]",":","A","list","of","network","weight","variables","in","the","current","variable","scope","."]
code: def get_regularizable_vars(self):
      """Get all network weight variables in the current scope.
  
      Returns:
          List[tf.Variable]: A list of network weight variables in the
              current variable scope.
  
      """
      return self._qf.get_regularizable_vars()
  
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 7 for calling the DiscreteQFArgmaxPolicy obj's underlying member method code with example usage: obj.get_regularizable_vars() and returns: self