diff --git a/analysis/matlab/variations/boxa_a2_d0_10/learning_curve.png b/analysis/matlab/variations/boxa_a2_d0_10/learning_curve.png
index a2b625a..0c8b0ad 100644
Binary files a/analysis/matlab/variations/boxa_a2_d0_10/learning_curve.png and b/analysis/matlab/variations/boxa_a2_d0_10/learning_curve.png differ
diff --git a/analysis/matlab/variations/boxa_a2_d0_10/learning_curve_rate.png b/analysis/matlab/variations/boxa_a2_d0_10/learning_curve_rate.png
index b32098f..6868c8e 100644
Binary files a/analysis/matlab/variations/boxa_a2_d0_10/learning_curve_rate.png and b/analysis/matlab/variations/boxa_a2_d0_10/learning_curve_rate.png differ
diff --git a/analysis/matlab/variations/boxa_a2_d0_10/plotcurve.m b/analysis/matlab/variations/boxa_a2_d0_10/plotcurve.m
index a9dba8b..adeedd6 100644
--- a/analysis/matlab/variations/boxa_a2_d0_10/plotcurve.m
+++ b/analysis/matlab/variations/boxa_a2_d0_10/plotcurve.m
@@ -54,12 +54,20 @@ if strcmp(metric, 'count')       % count: tick every 5, but label only every 10
         if mod(yt(k), 10) == 0; lbl{k} = num2str(yt(k)); else; lbl{k} = ''; end
     end
     set(gca, 'YTick', yt, 'YTickLabel', lbl);
-else                             % rate: fine minor tick marks every 0.02 (no labels)
+else                             % rate: tick every 0.02, label only every 0.1
     yl = ylim(gca);
-    set(gca, 'YMinorTick', 'on');
-    ax = gca; ax.YAxis.MinorTickValues = 0 : 0.02 : ceil(yl(2) / 0.02) * 0.02;
+    yt = 0 : 0.02 : ceil(yl(2) / 0.02) * 0.02;
+    lbl = cell(1, numel(yt));
+    for k = 1:numel(yt)
+        if abs(yt(k) / 0.1 - round(yt(k) / 0.1)) < 1e-9   % multiple of 0.1
+            lbl{k} = num2str(round(yt(k), 1));
+        else
+            lbl{k} = '';
+        end
+    end
+    set(gca, 'YTick', yt, 'YTickLabel', lbl);
 end
-grid on
+grid on                          % gridlines fall on the ticks (rate: every 0.02)
 % Add breathing room between the y-axis label and the tick numbers.
 set(ylh, 'Units', 'normalized');
 yp = get(ylh, 'Position');
diff --git a/analysis/matlab/variations/boxa_a2_d0_5/learning_curve.png b/analysis/matlab/variations/boxa_a2_d0_5/learning_curve.png
index 63d0cfb..6b64f9c 100644
Binary files a/analysis/matlab/variations/boxa_a2_d0_5/learning_curve.png and b/analysis/matlab/variations/boxa_a2_d0_5/learning_curve.png differ
diff --git a/analysis/matlab/variations/boxa_a2_d0_5/learning_curve_rate.png b/analysis/matlab/variations/boxa_a2_d0_5/learning_curve_rate.png
index f56d0fa..9e4fbcd 100644
Binary files a/analysis/matlab/variations/boxa_a2_d0_5/learning_curve_rate.png and b/analysis/matlab/variations/boxa_a2_d0_5/learning_curve_rate.png differ
diff --git a/analysis/matlab/variations/boxa_a2_d0_5/plotcurve.m b/analysis/matlab/variations/boxa_a2_d0_5/plotcurve.m
index a9dba8b..adeedd6 100644
--- a/analysis/matlab/variations/boxa_a2_d0_5/plotcurve.m
+++ b/analysis/matlab/variations/boxa_a2_d0_5/plotcurve.m
@@ -54,12 +54,20 @@ if strcmp(metric, 'count')       % count: tick every 5, but label only every 10
         if mod(yt(k), 10) == 0; lbl{k} = num2str(yt(k)); else; lbl{k} = ''; end
     end
     set(gca, 'YTick', yt, 'YTickLabel', lbl);
-else                             % rate: fine minor tick marks every 0.02 (no labels)
+else                             % rate: tick every 0.02, label only every 0.1
     yl = ylim(gca);
-    set(gca, 'YMinorTick', 'on');
-    ax = gca; ax.YAxis.MinorTickValues = 0 : 0.02 : ceil(yl(2) / 0.02) * 0.02;
+    yt = 0 : 0.02 : ceil(yl(2) / 0.02) * 0.02;
+    lbl = cell(1, numel(yt));
+    for k = 1:numel(yt)
+        if abs(yt(k) / 0.1 - round(yt(k) / 0.1)) < 1e-9   % multiple of 0.1
+            lbl{k} = num2str(round(yt(k), 1));
+        else
+            lbl{k} = '';
+        end
+    end
+    set(gca, 'YTick', yt, 'YTickLabel', lbl);
 end
-grid on
+grid on                          % gridlines fall on the ticks (rate: every 0.02)
 % Add breathing room between the y-axis label and the tick numbers.
 set(ylh, 'Units', 'normalized');
 yp = get(ylh, 'Position');
diff --git a/analysis/matlab/variations/boxa_a2_d6_10/learning_curve.png b/analysis/matlab/variations/boxa_a2_d6_10/learning_curve.png
index 35f7ceb..64b28f7 100644
Binary files a/analysis/matlab/variations/boxa_a2_d6_10/learning_curve.png and b/analysis/matlab/variations/boxa_a2_d6_10/learning_curve.png differ
diff --git a/analysis/matlab/variations/boxa_a2_d6_10/learning_curve_rate.png b/analysis/matlab/variations/boxa_a2_d6_10/learning_curve_rate.png
index 155dbd4..fb174f5 100644
Binary files a/analysis/matlab/variations/boxa_a2_d6_10/learning_curve_rate.png and b/analysis/matlab/variations/boxa_a2_d6_10/learning_curve_rate.png differ
diff --git a/analysis/matlab/variations/boxa_a2_d6_10/plotcurve.m b/analysis/matlab/variations/boxa_a2_d6_10/plotcurve.m
index a9dba8b..adeedd6 100644
--- a/analysis/matlab/variations/boxa_a2_d6_10/plotcurve.m
+++ b/analysis/matlab/variations/boxa_a2_d6_10/plotcurve.m
@@ -54,12 +54,20 @@ if strcmp(metric, 'count')       % count: tick every 5, but label only every 10
         if mod(yt(k), 10) == 0; lbl{k} = num2str(yt(k)); else; lbl{k} = ''; end
     end
     set(gca, 'YTick', yt, 'YTickLabel', lbl);
-else                             % rate: fine minor tick marks every 0.02 (no labels)
+else                             % rate: tick every 0.02, label only every 0.1
     yl = ylim(gca);
-    set(gca, 'YMinorTick', 'on');
-    ax = gca; ax.YAxis.MinorTickValues = 0 : 0.02 : ceil(yl(2) / 0.02) * 0.02;
+    yt = 0 : 0.02 : ceil(yl(2) / 0.02) * 0.02;
+    lbl = cell(1, numel(yt));
+    for k = 1:numel(yt)
+        if abs(yt(k) / 0.1 - round(yt(k) / 0.1)) < 1e-9   % multiple of 0.1
+            lbl{k} = num2str(round(yt(k), 1));
+        else
+            lbl{k} = '';
+        end
+    end
+    set(gca, 'YTick', yt, 'YTickLabel', lbl);
 end
-grid on
+grid on                          % gridlines fall on the ticks (rate: every 0.02)
 % Add breathing room between the y-axis label and the tick numbers.
 set(ylh, 'Units', 'normalized');
 yp = get(ylh, 'Position');
diff --git a/analysis/matlab/variations/boxa_b2_d0_10/learning_curve.png b/analysis/matlab/variations/boxa_b2_d0_10/learning_curve.png
index a9eb658..d365b4e 100644
Binary files a/analysis/matlab/variations/boxa_b2_d0_10/learning_curve.png and b/analysis/matlab/variations/boxa_b2_d0_10/learning_curve.png differ
diff --git a/analysis/matlab/variations/boxa_b2_d0_10/learning_curve_rate.png b/analysis/matlab/variations/boxa_b2_d0_10/learning_curve_rate.png
index a837827..c8575b6 100644
Binary files a/analysis/matlab/variations/boxa_b2_d0_10/learning_curve_rate.png and b/analysis/matlab/variations/boxa_b2_d0_10/learning_curve_rate.png differ
diff --git a/analysis/matlab/variations/boxa_b2_d0_10/plotcurve.m b/analysis/matlab/variations/boxa_b2_d0_10/plotcurve.m
index a9dba8b..adeedd6 100644
--- a/analysis/matlab/variations/boxa_b2_d0_10/plotcurve.m
+++ b/analysis/matlab/variations/boxa_b2_d0_10/plotcurve.m
@@ -54,12 +54,20 @@ if strcmp(metric, 'count')       % count: tick every 5, but label only every 10
         if mod(yt(k), 10) == 0; lbl{k} = num2str(yt(k)); else; lbl{k} = ''; end
     end
     set(gca, 'YTick', yt, 'YTickLabel', lbl);
-else                             % rate: fine minor tick marks every 0.02 (no labels)
+else                             % rate: tick every 0.02, label only every 0.1
     yl = ylim(gca);
-    set(gca, 'YMinorTick', 'on');
-    ax = gca; ax.YAxis.MinorTickValues = 0 : 0.02 : ceil(yl(2) / 0.02) * 0.02;
+    yt = 0 : 0.02 : ceil(yl(2) / 0.02) * 0.02;
+    lbl = cell(1, numel(yt));
+    for k = 1:numel(yt)
+        if abs(yt(k) / 0.1 - round(yt(k) / 0.1)) < 1e-9   % multiple of 0.1
+            lbl{k} = num2str(round(yt(k), 1));
+        else
+            lbl{k} = '';
+        end
+    end
+    set(gca, 'YTick', yt, 'YTickLabel', lbl);
 end
-grid on
+grid on                          % gridlines fall on the ticks (rate: every 0.02)
 % Add breathing room between the y-axis label and the tick numbers.
 set(ylh, 'Units', 'normalized');
 yp = get(ylh, 'Position');
diff --git a/analysis/matlab/variations/boxa_b2_d0_5/learning_curve.png b/analysis/matlab/variations/boxa_b2_d0_5/learning_curve.png
index 984e814..c4479a4 100644
Binary files a/analysis/matlab/variations/boxa_b2_d0_5/learning_curve.png and b/analysis/matlab/variations/boxa_b2_d0_5/learning_curve.png differ
diff --git a/analysis/matlab/variations/boxa_b2_d0_5/learning_curve_rate.png b/analysis/matlab/variations/boxa_b2_d0_5/learning_curve_rate.png
index 8c3dda4..cdae587 100644
Binary files a/analysis/matlab/variations/boxa_b2_d0_5/learning_curve_rate.png and b/analysis/matlab/variations/boxa_b2_d0_5/learning_curve_rate.png differ
diff --git a/analysis/matlab/variations/boxa_b2_d0_5/plotcurve.m b/analysis/matlab/variations/boxa_b2_d0_5/plotcurve.m
index a9dba8b..adeedd6 100644
--- a/analysis/matlab/variations/boxa_b2_d0_5/plotcurve.m
+++ b/analysis/matlab/variations/boxa_b2_d0_5/plotcurve.m
@@ -54,12 +54,20 @@ if strcmp(metric, 'count')       % count: tick every 5, but label only every 10
         if mod(yt(k), 10) == 0; lbl{k} = num2str(yt(k)); else; lbl{k} = ''; end
     end
     set(gca, 'YTick', yt, 'YTickLabel', lbl);
-else                             % rate: fine minor tick marks every 0.02 (no labels)
+else                             % rate: tick every 0.02, label only every 0.1
     yl = ylim(gca);
-    set(gca, 'YMinorTick', 'on');
-    ax = gca; ax.YAxis.MinorTickValues = 0 : 0.02 : ceil(yl(2) / 0.02) * 0.02;
+    yt = 0 : 0.02 : ceil(yl(2) / 0.02) * 0.02;
+    lbl = cell(1, numel(yt));
+    for k = 1:numel(yt)
+        if abs(yt(k) / 0.1 - round(yt(k) / 0.1)) < 1e-9   % multiple of 0.1
+            lbl{k} = num2str(round(yt(k), 1));
+        else
+            lbl{k} = '';
+        end
+    end
+    set(gca, 'YTick', yt, 'YTickLabel', lbl);
 end
-grid on
+grid on                          % gridlines fall on the ticks (rate: every 0.02)
 % Add breathing room between the y-axis label and the tick numbers.
 set(ylh, 'Units', 'normalized');
 yp = get(ylh, 'Position');
diff --git a/analysis/matlab/variations/boxa_b2_d6_10/learning_curve.png b/analysis/matlab/variations/boxa_b2_d6_10/learning_curve.png
index 5d7c66f..76b9f2c 100644
Binary files a/analysis/matlab/variations/boxa_b2_d6_10/learning_curve.png and b/analysis/matlab/variations/boxa_b2_d6_10/learning_curve.png differ
diff --git a/analysis/matlab/variations/boxa_b2_d6_10/learning_curve_rate.png b/analysis/matlab/variations/boxa_b2_d6_10/learning_curve_rate.png
index 2589cdd..0fe225e 100644
Binary files a/analysis/matlab/variations/boxa_b2_d6_10/learning_curve_rate.png and b/analysis/matlab/variations/boxa_b2_d6_10/learning_curve_rate.png differ
diff --git a/analysis/matlab/variations/boxa_b2_d6_10/plotcurve.m b/analysis/matlab/variations/boxa_b2_d6_10/plotcurve.m
index a9dba8b..adeedd6 100644
--- a/analysis/matlab/variations/boxa_b2_d6_10/plotcurve.m
+++ b/analysis/matlab/variations/boxa_b2_d6_10/plotcurve.m
@@ -54,12 +54,20 @@ if strcmp(metric, 'count')       % count: tick every 5, but label only every 10
         if mod(yt(k), 10) == 0; lbl{k} = num2str(yt(k)); else; lbl{k} = ''; end
     end
     set(gca, 'YTick', yt, 'YTickLabel', lbl);
-else                             % rate: fine minor tick marks every 0.02 (no labels)
+else                             % rate: tick every 0.02, label only every 0.1
     yl = ylim(gca);
-    set(gca, 'YMinorTick', 'on');
-    ax = gca; ax.YAxis.MinorTickValues = 0 : 0.02 : ceil(yl(2) / 0.02) * 0.02;
+    yt = 0 : 0.02 : ceil(yl(2) / 0.02) * 0.02;
+    lbl = cell(1, numel(yt));
+    for k = 1:numel(yt)
+        if abs(yt(k) / 0.1 - round(yt(k) / 0.1)) < 1e-9   % multiple of 0.1
+            lbl{k} = num2str(round(yt(k), 1));
+        else
+            lbl{k} = '';
+        end
+    end
+    set(gca, 'YTick', yt, 'YTickLabel', lbl);
 end
-grid on
+grid on                          % gridlines fall on the ticks (rate: every 0.02)
 % Add breathing room between the y-axis label and the tick numbers.
 set(ylh, 'Units', 'normalized');
 yp = get(ylh, 'Position');
diff --git a/analysis/matlab/variations/matched_current_d0_3/learning_curve.png b/analysis/matlab/variations/matched_current_d0_3/learning_curve.png
index 01597f5..ec1e03d 100644
Binary files a/analysis/matlab/variations/matched_current_d0_3/learning_curve.png and b/analysis/matlab/variations/matched_current_d0_3/learning_curve.png differ
diff --git a/analysis/matlab/variations/matched_current_d0_3/learning_curve_rate.png b/analysis/matlab/variations/matched_current_d0_3/learning_curve_rate.png
index 830f2e4..2acc1b3 100644
Binary files a/analysis/matlab/variations/matched_current_d0_3/learning_curve_rate.png and b/analysis/matlab/variations/matched_current_d0_3/learning_curve_rate.png differ
diff --git a/analysis/matlab/variations/matched_current_d0_3/plotcurve.m b/analysis/matlab/variations/matched_current_d0_3/plotcurve.m
index a9dba8b..adeedd6 100644
--- a/analysis/matlab/variations/matched_current_d0_3/plotcurve.m
+++ b/analysis/matlab/variations/matched_current_d0_3/plotcurve.m
@@ -54,12 +54,20 @@ if strcmp(metric, 'count')       % count: tick every 5, but label only every 10
         if mod(yt(k), 10) == 0; lbl{k} = num2str(yt(k)); else; lbl{k} = ''; end
     end
     set(gca, 'YTick', yt, 'YTickLabel', lbl);
-else                             % rate: fine minor tick marks every 0.02 (no labels)
+else                             % rate: tick every 0.02, label only every 0.1
     yl = ylim(gca);
-    set(gca, 'YMinorTick', 'on');
-    ax = gca; ax.YAxis.MinorTickValues = 0 : 0.02 : ceil(yl(2) / 0.02) * 0.02;
+    yt = 0 : 0.02 : ceil(yl(2) / 0.02) * 0.02;
+    lbl = cell(1, numel(yt));
+    for k = 1:numel(yt)
+        if abs(yt(k) / 0.1 - round(yt(k) / 0.1)) < 1e-9   % multiple of 0.1
+            lbl{k} = num2str(round(yt(k), 1));
+        else
+            lbl{k} = '';
+        end
+    end
+    set(gca, 'YTick', yt, 'YTickLabel', lbl);
 end
-grid on
+grid on                          % gridlines fall on the ticks (rate: every 0.02)
 % Add breathing room between the y-axis label and the tick numbers.
 set(ylh, 'Units', 'normalized');
 yp = get(ylh, 'Position');
diff --git a/analysis/matlab/variations/naive_a2_d0_10/learning_curve.png b/analysis/matlab/variations/naive_a2_d0_10/learning_curve.png
index 5399565..11436a8 100644
Binary files a/analysis/matlab/variations/naive_a2_d0_10/learning_curve.png and b/analysis/matlab/variations/naive_a2_d0_10/learning_curve.png differ
diff --git a/analysis/matlab/variations/naive_a2_d0_10/learning_curve_rate.png b/analysis/matlab/variations/naive_a2_d0_10/learning_curve_rate.png
index 642337a..c3326e4 100644
Binary files a/analysis/matlab/variations/naive_a2_d0_10/learning_curve_rate.png and b/analysis/matlab/variations/naive_a2_d0_10/learning_curve_rate.png differ
diff --git a/analysis/matlab/variations/naive_a2_d0_10/plotcurve.m b/analysis/matlab/variations/naive_a2_d0_10/plotcurve.m
index a9dba8b..adeedd6 100644
--- a/analysis/matlab/variations/naive_a2_d0_10/plotcurve.m
+++ b/analysis/matlab/variations/naive_a2_d0_10/plotcurve.m
@@ -54,12 +54,20 @@ if strcmp(metric, 'count')       % count: tick every 5, but label only every 10
         if mod(yt(k), 10) == 0; lbl{k} = num2str(yt(k)); else; lbl{k} = ''; end
     end
     set(gca, 'YTick', yt, 'YTickLabel', lbl);
-else                             % rate: fine minor tick marks every 0.02 (no labels)
+else                             % rate: tick every 0.02, label only every 0.1
     yl = ylim(gca);
-    set(gca, 'YMinorTick', 'on');
-    ax = gca; ax.YAxis.MinorTickValues = 0 : 0.02 : ceil(yl(2) / 0.02) * 0.02;
+    yt = 0 : 0.02 : ceil(yl(2) / 0.02) * 0.02;
+    lbl = cell(1, numel(yt));
+    for k = 1:numel(yt)
+        if abs(yt(k) / 0.1 - round(yt(k) / 0.1)) < 1e-9   % multiple of 0.1
+            lbl{k} = num2str(round(yt(k), 1));
+        else
+            lbl{k} = '';
+        end
+    end
+    set(gca, 'YTick', yt, 'YTickLabel', lbl);
 end
-grid on
+grid on                          % gridlines fall on the ticks (rate: every 0.02)
 % Add breathing room between the y-axis label and the tick numbers.
 set(ylh, 'Units', 'normalized');
 yp = get(ylh, 'Position');