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 parameter shapes.
  
  Returns:
      List[tuple]: A list of variable shapes.
docstr_tok: ["Get","parameter","shapes",".","Returns",":","List","[","tuple","]",":","A","list","of","variable","shapes","."]
code: def get_param_shapes(self):
      """Get parameter shapes.
  
      Returns:
          List[tuple]: A list of variable shapes.
  
      """
      return self._qf.get_param_shapes()
  
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 9 for calling the DiscreteQFArgmaxPolicy obj's underlying member method code with example usage: obj.get_param_shapes() and returns: self