(self, self_name, )
return exp_name_total, exp_names_conf
Registers a new experiment either for each player and their average or just for their average.
Registers a new experiment either for each player and their average or just for their average.
Registers a new experiment either for each player and their average or just for their average .
def _create_experiments(self, self_name, ):
        """
        Registers a new experiment either for each player and their average or just for their average.
        """

        if self._log_conf_interval:
            exp_names_conf = {
                eval_mode:
                    [
                        self._ray.get(
                            [
                                self._ray.remote(self._chief_handle.create_experiment,
                                                 self._t_prof.name
                                                 + " " + eval_mode
                                                 + "_stack_" + str(stack_size[0])
                                                 + ": " + self_name
                                                 + " Conf_" + bound_end)
                                for bound_end in ["lower95", "upper95"]
                            ]
                        )
                        for stack_size in self._t_prof.eval_stack_sizes
                    ]
                for eval_mode in self._t_prof.eval_modes_of_algo
            }
        else:
            exp_names_conf = None

        exp_name_total = {
            eval_mode:
                [
                    self._ray.get(
                        self._ray.remote(self._chief_handle.create_experiment,
                                         self._t_prof.name
                                         + " " + eval_mode
                                         + "_stack_" + str(stack_size[0])
                                         + ": " + self_name
                                         + " Total"))
                    for stack_size in self._t_prof.eval_stack_sizes
                ]
            for eval_mode in self._t_prof.eval_modes_of_algo
        }

        return exp_name_total, exp_names_conf
def _create_experiments ( self , self_name , ) : if self . _log_conf_interval : exp_names_conf = { eval_mode : [ self . _ray . get ( [ self . _ray . remote ( self . _chief_handle . create_experiment , self . _t_prof . name + " " + eval_mode + "_stack_" + str ( stack_size [ 0 ] ) + ": " + self_name + " Conf_" + bound_end ) for bound_end in [ "lower95" , "upper95" ] ] ) for stack_size in self . _t_prof . eval_stack_sizes ] for eval_mode in self . _t_prof . eval_modes_of_algo } else : exp_names_conf = None exp_name_total = { eval_mode : [ self . _ray . get ( self . _ray . remote ( self . _chief_handle . create_experiment , self . _t_prof . name + " " + eval_mode + "_stack_" + str ( stack_size [ 0 ] ) + ": " + self_name + " Total" ) ) for stack_size in self . _t_prof . eval_stack_sizes ] for eval_mode in self . _t_prof . eval_modes_of_algo } return exp_name_total , exp_names_conf