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: Object.__getstate__.
  
  Returns:
      dict: the state to be pickled for the instance.
docstr_tok: ["Object.__getstate__",".","Returns",":","dict",":","the","state","to","be","pickled","for","the","instance","."]
code: def __getstate__(self):
      """Object.__getstate__.
  
      Returns:
          dict: the state to be pickled for the instance.
  
      """
      new_dict = super().__getstate__()
      del new_dict["_f_qval"]
      return new_dict
  
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 13 for calling the DiscreteQFArgmaxPolicy obj's underlying member method code with example usage: obj.__getstate__() and returns: new_dict