def _create_experiments(self, self_name):
    '\n        Registers a new experiment either for each player and their average or just for their average.\n        '
    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)
Registers a new experiment either for each player and their average or just for their average.
def _create_experiments(self, self_name):
    '\n        \n        '
    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)