diff --git a/client/driver/fabfile.py b/client/driver/fabfile.py
index 3a50638..1338790 100644
--- a/client/driver/fabfile.py
+++ b/client/driver/fabfile.py
@@ -781,6 +781,13 @@ def integration_tests():
     response = get_result(upload_code='ottertuneTestTuningGPR')
     assert response['status'] == 'good'
 
+    # Test DDPG
+    LOG.info('Test DDPG (deep deterministic policy gradient)')
+    upload_result(result_dir='./integrationTests/data/', prefix='0__',
+                  upload_code='ottertuneTestTuningDDPG')
+    response = get_result(upload_code='ottertuneTestTuningDDPG')
+    assert response['status'] == 'good'
+
     # Test DNN: 2rd iteration
     upload_result(result_dir='./integrationTests/data/', prefix='1__',
                   upload_code='ottertuneTestTuningDNN')
@@ -793,4 +800,10 @@ def integration_tests():
     response = get_result(upload_code='ottertuneTestTuningGPR')
     assert response['status'] == 'good'
 
+    # Test DDPG: 2rd iteration
+    upload_result(result_dir='./integrationTests/data/', prefix='1__',
+                  upload_code='ottertuneTestTuningDDPG')
+    response = get_result(upload_code='ottertuneTestTuningDDPG')
+    assert response['status'] == 'good'
+
     LOG.info("\n\nIntegration Tests: PASSED!!\n")
diff --git a/server/website/website/tasks/async_tasks.py b/server/website/website/tasks/async_tasks.py
index 055f554..c686053 100644
--- a/server/website/website/tasks/async_tasks.py
+++ b/server/website/website/tasks/async_tasks.py
@@ -160,10 +160,11 @@ def clean_metric_data(metric_matrix, metric_labels, session):
     # If columns are missing from the matrix
     if missing_columns:
         for metric in missing_columns:
-            index = metric_cat.index(metric)
+            # append a missing column after the last column
+            index = matrix.shape[1]  # pylint: disable=unsubscriptable-object
             default_val = 0
             matrix = np.insert(matrix, index, default_val, axis=1)
-            metric_labels.insert(index, metric)
+            metric_labels.append(metric)
     LOG.debug(matrix.shape)
     # If they are useless columns in the matrix
     if unused_columns: