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: Set param values.
  
  Args:
      param_values (np.ndarray): A numpy array of parameter values.
docstr_tok: ["Set","param","values",".","Args",":","param_values","(","np.ndarray",")",":","A","numpy","array","of","parameter","values","."]
code: def set_param_values(self, param_values):
      """Set param values.
  
      Args:
          param_values (np.ndarray): A numpy array of parameter values.
  
      """
      self._qf.set_param_values(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 11 for calling the DiscreteQFArgmaxPolicy obj's underlying member method code with example usage: obj.set_param_values(param_values) without return types