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 param values.
  
  Returns:
      np.ndarray: Values of the parameters evaluated in
          the current session
docstr_tok: ["Get","param","values",".","Returns",":","np.ndarray",":","Values","of","the","parameters","evaluated","in","the","current","session"]
code: def get_param_values(self):
      """Get param values.
  
      Returns:
          np.ndarray: Values of the parameters evaluated in
              the current session
  
      """
      return self._qf.get_param_values()
  
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 10 for calling the DiscreteQFArgmaxPolicy obj's underlying member method code with example usage: obj.get_param_values() and returns: self