0D: return loss_improvements in choose_points

adaptive/learner.py

@@ -131,9 +131,7 @@ class AverageLearner(BaseLearner):
 
     def choose_points(self, n, add_data=True):
         points = list(range(self.n_requested, self.n_requested + n))
-
-        # XXX: We should return the actual loss improvements
-        loss_improvements = [None] * n
+        loss_improvements = [self.loss()] * n
         if add_data:
             self.add_data(points, itertools.repeat(None))
         return points, loss_improvements