diff --git a/docs/source/tutorials/himmelblau.ipynb b/docs/source/tutorials/himmelblau.ipynb
index 7925a58..143fb6a 100644
--- a/docs/source/tutorials/himmelblau.ipynb
+++ b/docs/source/tutorials/himmelblau.ipynb
@@ -165,7 +165,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "RE(agent.learn(\"quasi-random\", n=32))\n",
+    "RE(agent.learn(\"quasi-random\", n=36))\n",
     "agent.plot_objectives()"
    ]
   },
@@ -294,7 +294,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3.11.5 64-bit",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
    "name": "python3"
   },
@@ -308,7 +308,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.5"
+   "version": "3.10.0"
   },
   "vscode": {
    "interpreter": {
diff --git a/docs/source/tutorials/passive-dofs.ipynb b/docs/source/tutorials/passive-dofs.ipynb
index 8e53358..a79ae5b 100644
--- a/docs/source/tutorials/passive-dofs.ipynb
+++ b/docs/source/tutorials/passive-dofs.ipynb
@@ -94,7 +94,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.5"
+   "version": "3.10.0"
   },
   "vscode": {
    "interpreter": {
diff --git a/src/blop/agent.py b/src/blop/agent.py
index f559614..d53590d 100644
--- a/src/blop/agent.py
+++ b/src/blop/agent.py
@@ -39,7 +39,7 @@
 
 mpl.rc("image", cmap="coolwarm")
 
-DEFAULT_MAX_SAMPLES = 2**11
+DEFAULT_MAX_SAMPLES = 2**12
 
 
 def _validate_dofs_and_objs(dofs: DOFList, objs: ObjectiveList):
@@ -919,7 +919,7 @@ def train_targets(self, index=None, **subset_kwargs):
     @property
     def best(self):
         """Returns all data for the best point."""
-        return self.table.loc[self.argmax_best_f]
+        return self.table.loc[self.argmax_best_f.item()]
 
     @property
     def best_inputs(self):
diff --git a/src/blop/tests/test_agent.py b/src/blop/tests/test_agent.py
index 9789635..7b6f117 100644
--- a/src/blop/tests/test_agent.py
+++ b/src/blop/tests/test_agent.py
@@ -4,6 +4,8 @@
 def test_agent(agent, RE):
     RE(agent.learn("qr", n=4))
 
+    agent.best
+
 
 def test_forget(agent, RE):
     RE(agent.learn("qr", n=4))