diff --git a/.github/workflows/docs.yml b/.github/workflows/docs.yml
index 0d85a13..6c356ec 100644
--- a/.github/workflows/docs.yml
+++ b/.github/workflows/docs.yml
@@ -1,11 +1,6 @@
 name: Docs
 
-on:
-  # Runs on pushes targeting the default branch and pull requests.
-  push:
-    branches: [main]
-  pull_request:
-    types: [opened, reopened]
+on: [push]
 
 concurrency:
   group: ${{ github.workflow }}-${{ github.ref_name }}
@@ -60,22 +55,25 @@ jobs:
           files: |
             docs/**/*.ipynb
 
-     - name: Run documentation notebooks
-       run: |
-         poetry run jupyter nbconvert --execute --to notebook --inplace ${{ steps.glob.outputs.paths }}
+      # - name: Run documentation notebooks
+      #   run: |
+      #    poetry run jupyter nbconvert --execute --to notebook --inplace ${{ steps.glob.outputs.paths }} --ExecutePreprocessor.kernel_name=python3
 
       - name: Generate docs
         working-directory: docs/
         run: make html
 
       - name: Setup Pages
+        if: github.ref == 'refs/heads/main'
         uses: actions/configure-pages@v5
 
       - name: Upload artifact
+        if: github.ref == 'refs/heads/main'
         uses: actions/upload-pages-artifact@v3
         with:
           path: "docs/_build/html/"
 
       - name: Deploy to GitHub Pages
+        if: github.ref == 'refs/heads/main'
         id: deployment
         uses: actions/deploy-pages@v4
diff --git a/Untitled.ipynb b/Untitled.ipynb
deleted file mode 100644
index dba60c4..0000000
--- a/Untitled.ipynb
+++ /dev/null
@@ -1,43 +0,0 @@
-{
-  "cells": [
-    {
-      "cell_type": "code",
-      "execution_count": 1,
-      "id": "c4d32ada-47ed-412e-95dd-3f16880fa568",
-      "metadata": {},
-      "outputs": [],
-      "source": [
-        "import examples"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "id": "1935eab3-9731-4cd3-9fde-cbd22a25eea3",
-      "metadata": {},
-      "outputs": [],
-      "source": []
-    }
-  ],
-  "metadata": {
-    "kernelspec": {
-      "display_name": "Python 3 (ipykernel)",
-      "language": "python",
-      "name": "python3"
-    },
-    "language_info": {
-      "codemirror_mode": {
-        "name": "ipython",
-        "version": 3
-      },
-      "file_extension": ".py",
-      "mimetype": "text/x-python",
-      "name": "python",
-      "nbconvert_exporter": "python",
-      "pygments_lexer": "ipython3",
-      "version": "3.12.7"
-    }
-  },
-  "nbformat": 4,
-  "nbformat_minor": 5
-}
diff --git a/docs/getting_started/die.html b/docs/getting_started/die.html
index 2111815..6b047e2 100644
--- a/docs/getting_started/die.html
+++ b/docs/getting_started/die.html
@@ -1,6 +1,6 @@
 
           <iframe
-                id="diezvSItfhbCB"
+                id="dieeRDskhMrxq"
                 width="820"
                 height="620"
                 frameborder="0"
diff --git a/docs/getting_started/die.ipynb b/docs/getting_started/die.ipynb
index 7695724..58e8eba 100644
--- a/docs/getting_started/die.ipynb
+++ b/docs/getting_started/die.ipynb
@@ -10,7 +10,14 @@
     {
       "cell_type": "code",
       "execution_count": 1,
-      "metadata": {},
+      "metadata": {
+        "execution": {
+          "iopub.execute_input": "2024-11-07T11:13:31.640897Z",
+          "iopub.status.busy": "2024-11-07T11:13:31.640265Z",
+          "iopub.status.idle": "2024-11-07T11:13:31.809538Z",
+          "shell.execute_reply": "2024-11-07T11:13:31.809283Z"
+        }
+      },
       "outputs": [],
       "source": [
         "import stormvogel.model\n",
@@ -31,6 +38,12 @@
       "cell_type": "code",
       "execution_count": 2,
       "metadata": {
+        "execution": {
+          "iopub.execute_input": "2024-11-07T11:13:31.811899Z",
+          "iopub.status.busy": "2024-11-07T11:13:31.811773Z",
+          "iopub.status.idle": "2024-11-07T11:13:31.912524Z",
+          "shell.execute_reply": "2024-11-07T11:13:31.912283Z"
+        },
         "scrolled": true
       },
       "outputs": [
@@ -39,7 +52,7 @@
             "text/html": [
               "\n",
               "          <iframe\n",
-              "                id=\"diezvSItfhbCB\"\n",
+              "                id=\"dieeRDskhMrxq\"\n",
               "                width=\"820\"\n",
               "                height=\"620\"\n",
               "                frameborder=\"0\"\n",
@@ -276,7 +289,14 @@
     {
       "cell_type": "code",
       "execution_count": 3,
-      "metadata": {},
+      "metadata": {
+        "execution": {
+          "iopub.execute_input": "2024-11-07T11:13:31.918412Z",
+          "iopub.status.busy": "2024-11-07T11:13:31.918348Z",
+          "iopub.status.idle": "2024-11-07T11:13:31.919856Z",
+          "shell.execute_reply": "2024-11-07T11:13:31.919662Z"
+        }
+      },
       "outputs": [],
       "source": [
         "stormpy_dtmc = stormvogel.mapping.stormvogel_to_stormpy(dtmc)"
@@ -292,7 +312,7 @@
   ],
   "metadata": {
     "kernelspec": {
-      "display_name": "Python 3 (ipykernel)",
+      "display_name": ".venv",
       "language": "python",
       "name": "python3"
     },
@@ -306,35 +326,12 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.12.7"
+      "version": "3.12.6"
     },
     "widgets": {
       "application/vnd.jupyter.widget-state+json": {
         "state": {
-          "001a54a5d7764652940e8d34bc6055f0": {
-            "model_module": "@jupyter-widgets/controls",
-            "model_module_version": "2.0.0",
-            "model_name": "HTMLModel",
-            "state": {
-              "_dom_classes": [],
-              "_model_module": "@jupyter-widgets/controls",
-              "_model_module_version": "2.0.0",
-              "_model_name": "HTMLModel",
-              "_view_count": null,
-              "_view_module": "@jupyter-widgets/controls",
-              "_view_module_version": "2.0.0",
-              "_view_name": "HTMLView",
-              "description": "",
-              "description_allow_html": false,
-              "layout": "IPY_MODEL_76021091c2d942f595c906a4198eded8",
-              "placeholder": "\u200b",
-              "style": "IPY_MODEL_969d1a1cc9e14e9ca4683674b40c43ca",
-              "tabbable": null,
-              "tooltip": null,
-              "value": "<p>Mass controls degree of repulsion of nodes.</p>"
-            }
-          },
-          "00af4b6417df4de0aaf3149a2fb18369": {
+          "04167fe4ffde46ebb5eea22ecb840b1a": {
             "model_module": "@jupyter-widgets/base",
             "model_module_version": "2.0.0",
             "model_name": "LayoutModel",
@@ -387,46 +384,47 @@
               "width": null
             }
           },
-          "00d4dcfd5513458982fec93054644b22": {
-            "model_module": "@jupyter-widgets/controls",
-            "model_module_version": "2.0.0",
-            "model_name": "VBoxModel",
+          "0e863557cf104f8392a3b031c68e2fb7": {
+            "model_module": "@jupyter-widgets/output",
+            "model_module_version": "1.0.0",
+            "model_name": "OutputModel",
             "state": {
               "_dom_classes": [],
-              "_model_module": "@jupyter-widgets/controls",
-              "_model_module_version": "2.0.0",
-              "_model_name": "VBoxModel",
+              "_model_module": "@jupyter-widgets/output",
+              "_model_module_version": "1.0.0",
+              "_model_name": "OutputModel",
               "_view_count": null,
-              "_view_module": "@jupyter-widgets/controls",
-              "_view_module_version": "2.0.0",
-              "_view_name": "VBoxView",
-              "box_style": "",
-              "children": [
-                "IPY_MODEL_1b8c4936dd164cfcbf1b91087038b975",
-                "IPY_MODEL_5196323e3a4b41a7898c85a9e7cbcc71"
-              ],
-              "layout": "IPY_MODEL_9f034116db994c3f970714b87ffa994d",
+              "_view_module": "@jupyter-widgets/output",
+              "_view_module_version": "1.0.0",
+              "_view_name": "OutputView",
+              "layout": "IPY_MODEL_991762f218504403aab4a5045928eeaf",
+              "msg_id": "",
+              "outputs": [],
               "tabbable": null,
               "tooltip": null
             }
           },
-          "00e8f8e691264f1880f89ecf8652b5ce": {
-            "model_module": "@jupyter-widgets/controls",
-            "model_module_version": "2.0.0",
-            "model_name": "SliderStyleModel",
+          "161210d328a746fc8dd3715ebdf07e94": {
+            "model_module": "@jupyter-widgets/output",
+            "model_module_version": "1.0.0",
+            "model_name": "OutputModel",
             "state": {
-              "_model_module": "@jupyter-widgets/controls",
-              "_model_module_version": "2.0.0",
-              "_model_name": "SliderStyleModel",
+              "_dom_classes": [],
+              "_model_module": "@jupyter-widgets/output",
+              "_model_module_version": "1.0.0",
+              "_model_name": "OutputModel",
               "_view_count": null,
-              "_view_module": "@jupyter-widgets/base",
-              "_view_module_version": "2.0.0",
-              "_view_name": "StyleView",
-              "description_width": "",
-              "handle_color": null
+              "_view_module": "@jupyter-widgets/output",
+              "_view_module_version": "1.0.0",
+              "_view_name": "OutputView",
+              "layout": "IPY_MODEL_6860b3df947a4ea9a9f79cd92a44fa2b",
+              "msg_id": "",
+              "outputs": [],
+              "tabbable": null,
+              "tooltip": null
             }
           },
-          "00fd3d0fcecc4166a8298857a57edc9d": {
+          "25fdf4123e944c8eb277ec3133113c7d": {
             "model_module": "@jupyter-widgets/base",
             "model_module_version": "2.0.0",
             "model_name": "LayoutModel",
@@ -479,7 +477,7 @@
               "width": null
             }
           },
-          "012e4ea4e4df44b1ac8bb62e1fb22bae": {
+          "2f00f8d9af2345f99084d12197511d8b": {
             "model_module": "@jupyter-widgets/base",
             "model_module_version": "2.0.0",
             "model_name": "LayoutModel",
@@ -532,7 +530,45 @@
               "width": null
             }
           },
-          "015f77944d3e4fc983815db4dd39aa07": {
+          "3e9da64b6ca04108989cbc43637c59ae": {
+            "model_module": "@jupyter-widgets/controls",
+            "model_module_version": "2.0.0",
+            "model_name": "HTMLStyleModel",
+            "state": {
+              "_model_module": "@jupyter-widgets/controls",
+              "_model_module_version": "2.0.0",
+              "_model_name": "HTMLStyleModel",
+              "_view_count": null,
+              "_view_module": "@jupyter-widgets/base",
+              "_view_module_version": "2.0.0",
+              "_view_name": "StyleView",
+              "background": null,
+              "description_width": "",
+              "font_size": null,
+              "text_color": null
+            }
+          },
+          "41ff2387866f49078965869ec0761616": {
+            "model_module": "@jupyter-widgets/output",
+            "model_module_version": "1.0.0",
+            "model_name": "OutputModel",
+            "state": {
+              "_dom_classes": [],
+              "_model_module": "@jupyter-widgets/output",
+              "_model_module_version": "1.0.0",
+              "_model_name": "OutputModel",
+              "_view_count": null,
+              "_view_module": "@jupyter-widgets/output",
+              "_view_module_version": "1.0.0",
+              "_view_name": "OutputView",
+              "layout": "IPY_MODEL_652606f783d0402b85cef9a6577b1055",
+              "msg_id": "",
+              "outputs": [],
+              "tabbable": null,
+              "tooltip": null
+            }
+          },
+          "499748d29cf047d68d571bccb28f655e": {
             "model_module": "@jupyter-widgets/output",
             "model_module_version": "1.0.0",
             "model_name": "OutputModel",
@@ -545,14 +581,14 @@
               "_view_module": "@jupyter-widgets/output",
               "_view_module_version": "1.0.0",
               "_view_name": "OutputView",
-              "layout": "IPY_MODEL_07361cbca45a422b96c1cf37e7183db6",
+              "layout": "IPY_MODEL_7211793791ed4eb583e5169733162229",
               "msg_id": "",
               "outputs": [],
               "tabbable": null,
               "tooltip": null
             }
           },
-          "018d1f325aec4685874cc4bd00908a6d": {
+          "544a78955e8f4dde9a2b30ef9d8fadc7": {
             "model_module": "@jupyter-widgets/base",
             "model_module_version": "2.0.0",
             "model_name": "LayoutModel",
@@ -605,43 +641,27 @@
               "width": null
             }
           },
-          "01bef9826b4a4d7fa00fffee64e5d360": {
-            "model_module": "@jupyter-widgets/controls",
-            "model_module_version": "2.0.0",
-            "model_name": "DropdownModel",
+          "5849e057b87745ffb6c904efe3a9f88f": {
+            "model_module": "@jupyter-widgets/output",
+            "model_module_version": "1.0.0",
+            "model_name": "OutputModel",
             "state": {
               "_dom_classes": [],
-              "_model_module": "@jupyter-widgets/controls",
-              "_model_module_version": "2.0.0",
-              "_model_name": "DropdownModel",
-              "_options_labels": [
-                "ellipse",
-                "circle",
-                "database",
-                "box",
-                "text",
-                "diamond",
-                "dot",
-                "star",
-                "triangle",
-                "triangleDown",
-                "square"
-              ],
+              "_model_module": "@jupyter-widgets/output",
+              "_model_module_version": "1.0.0",
+              "_model_name": "OutputModel",
               "_view_count": null,
-              "_view_module": "@jupyter-widgets/controls",
-              "_view_module_version": "2.0.0",
-              "_view_name": "DropdownView",
-              "description": "Shape",
-              "description_allow_html": false,
-              "disabled": false,
-              "index": 3,
-              "layout": "IPY_MODEL_7db7411b95484c0fb8ea8f543ef4f575",
-              "style": "IPY_MODEL_f85623fce9c04c24aecff8e7bdbddeea",
+              "_view_module": "@jupyter-widgets/output",
+              "_view_module_version": "1.0.0",
+              "_view_name": "OutputView",
+              "layout": "IPY_MODEL_cc0f90ab34e74ad295017549992fbfaf",
+              "msg_id": "",
+              "outputs": [],
               "tabbable": null,
               "tooltip": null
             }
           },
-          "0221a3b535c24038b425794949182471": {
+          "652606f783d0402b85cef9a6577b1055": {
             "model_module": "@jupyter-widgets/base",
             "model_module_version": "2.0.0",
             "model_name": "LayoutModel",
@@ -694,7 +714,7 @@
               "width": null
             }
           },
-          "02a29571fa8e4130b03f8d46d5e2e977": {
+          "6860b3df947a4ea9a9f79cd92a44fa2b": {
             "model_module": "@jupyter-widgets/base",
             "model_module_version": "2.0.0",
             "model_name": "LayoutModel",
@@ -747,30 +767,7 @@
               "width": null
             }
           },
-          "02bb80313d654903990b0b12a0691526": {
-            "model_module": "@jupyter-widgets/controls",
-            "model_module_version": "2.0.0",
-            "model_name": "HTMLModel",
-            "state": {
-              "_dom_classes": [],
-              "_model_module": "@jupyter-widgets/controls",
-              "_model_module_version": "2.0.0",
-              "_model_name": "HTMLModel",
-              "_view_count": null,
-              "_view_module": "@jupyter-widgets/controls",
-              "_view_module_version": "2.0.0",
-              "_view_name": "HTMLView",
-              "description": "",
-              "description_allow_html": false,
-              "layout": "IPY_MODEL_59120677f93e4ca9bac633d1cc4b88f4",
-              "placeholder": "\u200b",
-              "style": "IPY_MODEL_303f824321e84980a3717c6e9c3d2a94",
-              "tabbable": null,
-              "tooltip": null,
-              "value": "<p>Font</p>"
-            }
-          },
-          "032e0870a3844cc1a5108e905cd614ea": {
+          "7211793791ed4eb583e5169733162229": {
             "model_module": "@jupyter-widgets/base",
             "model_module_version": "2.0.0",
             "model_name": "LayoutModel",
@@ -823,22 +820,7 @@
               "width": null
             }
           },
-          "03e19d49ef1b49d7ad0d8e144b200b1c": {
-            "model_module": "@jupyter-widgets/controls",
-            "model_module_version": "2.0.0",
-            "model_name": "DescriptionStyleModel",
-            "state": {
-              "_model_module": "@jupyter-widgets/controls",
-              "_model_module_version": "2.0.0",
-              "_model_name": "DescriptionStyleModel",
-              "_view_count": null,
-              "_view_module": "@jupyter-widgets/base",
-              "_view_module_version": "2.0.0",
-              "_view_name": "StyleView",
-              "description_width": ""
-            }
-          },
-          "055b49053af149c5a68156d0532b77b8": {
+          "80839ad46d664b0fa8f2b63ea97e90a2": {
             "model_module": "@jupyter-widgets/base",
             "model_module_version": "2.0.0",
             "model_name": "LayoutModel",
@@ -891,23 +873,50 @@
               "width": null
             }
           },
-          "05ba07bade2d400f933ebc12b73ce120": {
+          "8b97cf28554a46d0824c69866a9ef98e": {
+            "model_module": "@jupyter-widgets/output",
+            "model_module_version": "1.0.0",
+            "model_name": "OutputModel",
+            "state": {
+              "_dom_classes": [],
+              "_model_module": "@jupyter-widgets/output",
+              "_model_module_version": "1.0.0",
+              "_model_name": "OutputModel",
+              "_view_count": null,
+              "_view_module": "@jupyter-widgets/output",
+              "_view_module_version": "1.0.0",
+              "_view_name": "OutputView",
+              "layout": "IPY_MODEL_ea8b13024f55497d8588fe55f5dceecd",
+              "msg_id": "",
+              "outputs": [],
+              "tabbable": null,
+              "tooltip": null
+            }
+          },
+          "98ce4ff0c513440ea23fb510a3ac79c8": {
             "model_module": "@jupyter-widgets/controls",
             "model_module_version": "2.0.0",
-            "model_name": "CheckboxStyleModel",
+            "model_name": "HTMLModel",
             "state": {
+              "_dom_classes": [],
               "_model_module": "@jupyter-widgets/controls",
               "_model_module_version": "2.0.0",
-              "_model_name": "CheckboxStyleModel",
+              "_model_name": "HTMLModel",
               "_view_count": null,
-              "_view_module": "@jupyter-widgets/base",
+              "_view_module": "@jupyter-widgets/controls",
               "_view_module_version": "2.0.0",
-              "_view_name": "StyleView",
-              "background": null,
-              "description_width": ""
+              "_view_name": "HTMLView",
+              "description": "",
+              "description_allow_html": false,
+              "layout": "IPY_MODEL_25fdf4123e944c8eb277ec3133113c7d",
+              "placeholder": "\u200b",
+              "style": "IPY_MODEL_3e9da64b6ca04108989cbc43637c59ae",
+              "tabbable": null,
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+              "value": "\n          <iframe\n                id=\"dieeRDskhMrxq\"\n                width=\"820\"\n                height=\"620\"\n                frameborder=\"0\"\n                srcdoc=\"\n&lt;!DOCTYPE html&gt;\n&lt;html lang=&quot;en&quot;&gt;\n  &lt;head&gt;\n    &lt;title&gt;Network&lt;/title&gt;\n    &lt;script\n      type=&quot;text/javascript&quot;\n      src=&quot;https://unpkg.com/vis-network/standalone/umd/vis-network.min.js&quot;\n    &gt;&lt;/script&gt;\n    &lt;style type=&quot;text/css&quot;&gt;\n      #mynetwork {\n        \n        width: 800px;\n        height: 600px;\n        border: 1px solid lightgray;\n        \n      }\n    &lt;/style&gt;\n  &lt;/head&gt;\n  &lt;body&gt;\n    &lt;div id=&quot;mynetwork&quot;&gt;&lt;/div&gt;\n    &lt;script type=&quot;text/javascript&quot;&gt;\n        \n        var nodes = new vis.DataSet([{ id: 0, label: `init`, group: &quot;states&quot; },\n{ id: 1, label: `rolled1`, group: &quot;states&quot; },\n{ id: 2, label: `rolled2`, group: &quot;states&quot; 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@@ -13103,7 +1261,7 @@
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diff --git a/docs/getting_started/mdp.ipynb b/docs/getting_started/mdp.ipynb
index 90c7950..8dcb11d 100644
--- a/docs/getting_started/mdp.ipynb
+++ b/docs/getting_started/mdp.ipynb
@@ -1,5 +1,12 @@
 {
   "cells": [
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "# Example MDP"
+      ]
+    },
     {
       "cell_type": "code",
       "execution_count": 1,
@@ -350,7 +357,7 @@
   ],
   "metadata": {
     "kernelspec": {
-      "display_name": "Python 3 (ipykernel)",
+      "display_name": ".venv",
       "language": "python",
       "name": "python3"
     },
@@ -364,7 +371,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.12.7"
+      "version": "3.12.6"
     }
   },
   "nbformat": 4,
diff --git a/docs/getting_started/simulator.ipynb b/docs/getting_started/simulator.ipynb
index 0dbb8d1..17f6e29 100644
--- a/docs/getting_started/simulator.ipynb
+++ b/docs/getting_started/simulator.ipynb
@@ -2,7 +2,7 @@
   "cells": [
     {
       "cell_type": "code",
-      "execution_count": null,
+      "execution_count": 13,
       "id": "a8ddc37c-66d2-43e4-8162-6be19a1d70a1",
       "metadata": {},
       "outputs": [],
@@ -13,7 +13,7 @@
     },
     {
       "cell_type": "code",
-      "execution_count": null,
+      "execution_count": 14,
       "id": "cab40f99-3460-4497-8b9f-3d669eee1e11",
       "metadata": {},
       "outputs": [],
@@ -86,10 +86,31 @@
     },
     {
       "cell_type": "code",
-      "execution_count": null,
+      "execution_count": 15,
       "id": "eb0fadc0-7bb6-4c1d-ae3e-9e16527726ab",
       "metadata": {},
-      "outputs": [],
+      "outputs": [
+        {
+          "name": "stdout",
+          "output_type": "stream",
+          "text": [
+            "ModelType.MDP with name None\n",
+            "\n",
+            "States:\n",
+            "State 0 with labels ['init'] and features {}\n",
+            "State 1 with labels ['carchosen'] and features {}\n",
+            "State 2 with labels ['open'] and features {}\n",
+            "State 3 with labels ['goatrevealed'] and features {}\n",
+            "State 4 with labels ['target', 'done'] and features {}\n",
+            "\n",
+            "Transitions:\n",
+            "0.3333333333333333 -> State 1 with labels ['carchosen'] and features {}\n",
+            "1.0 -> State 2 with labels ['open'] and features {}\n",
+            "0.5 -> State 3 with labels ['goatrevealed'] and features {}\n",
+            "1.0 -> State 4 with labels ['target', 'done'] and features {}\n"
+          ]
+        }
+      ],
       "source": [
         "#we want to simulate this model. That is, we start at the initial state and then\n",
         "#we walk through the model according to transition probabilities.\n",
@@ -109,12 +130,33 @@
     },
     {
       "cell_type": "code",
-      "execution_count": null,
+      "execution_count": 16,
       "id": "59ac1e34-866c-42c4-b19b-c2a15c830e2e",
       "metadata": {
         "scrolled": true
       },
-      "outputs": [],
+      "outputs": [
+        {
+          "name": "stdout",
+          "output_type": "stream",
+          "text": [
+            "ModelType.MDP with name None\n",
+            "\n",
+            "States:\n",
+            "State 0 with labels ['init'] and features {}\n",
+            "State 1 with labels ['carchosen'] and features {}\n",
+            "State 2 with labels ['open'] and features {}\n",
+            "State 3 with labels ['goatrevealed'] and features {}\n",
+            "State 4 with labels ['done'] and features {}\n",
+            "\n",
+            "Transitions:\n",
+            "0.3333333333333333 -> State 1 with labels ['carchosen'] and features {}\n",
+            "1.0 -> State 2 with labels ['open'] and features {}\n",
+            "1.0 -> State 3 with labels ['goatrevealed'] and features {}\n",
+            "1.0 -> State 4 with labels ['done'] and features {}\n"
+          ]
+        }
+      ],
       "source": [
         "#it still chooses random actions but we can prevent this by providing a scheduler:\n",
         "taken_actions = {}\n",
@@ -128,10 +170,63 @@
     },
     {
       "cell_type": "code",
-      "execution_count": null,
+      "execution_count": 17,
       "id": "22871288-755c-463f-9150-f207c2f5c211",
       "metadata": {},
-      "outputs": [],
+      "outputs": [
+        {
+          "data": {
+            "application/vnd.jupyter.widget-view+json": {
+              "model_id": "dedb21bb36f34f78926a65af349155a0",
+              "version_major": 2,
+              "version_minor": 0
+            },
+            "text/plain": [
+              "Output()"
+            ]
+          },
+          "metadata": {},
+          "output_type": "display_data"
+        },
+        {
+          "data": {
+            "application/vnd.jupyter.widget-view+json": {
+              "model_id": "a99224b532bf40dab9b7e7018bed689f",
+              "version_major": 2,
+              "version_minor": 0
+            },
+            "text/plain": [
+              "Output()"
+            ]
+          },
+          "metadata": {},
+          "output_type": "display_data"
+        },
+        {
+          "data": {
+            "application/vnd.jupyter.widget-view+json": {
+              "model_id": "28879179b6684e7789aefe922d77d759",
+              "version_major": 2,
+              "version_minor": 0
+            },
+            "text/plain": [
+              "HBox(children=(Output(), Output()))"
+            ]
+          },
+          "metadata": {},
+          "output_type": "display_data"
+        },
+        {
+          "data": {
+            "text/plain": [
+              "<stormvogel.visualization.Visualization at 0x118715370>"
+            ]
+          },
+          "execution_count": 17,
+          "metadata": {},
+          "output_type": "execute_result"
+        }
+      ],
       "source": [
         "#we can also visualize the partial model that we get from the simulator:\n",
         "show.show(partial_model)\n"
@@ -139,10 +234,18 @@
     },
     {
       "cell_type": "code",
-      "execution_count": null,
+      "execution_count": 18,
       "id": "34d0c293-d090-4e3d-9e80-4351f5fcba62",
       "metadata": {},
-      "outputs": [],
+      "outputs": [
+        {
+          "name": "stdout",
+          "output_type": "stream",
+          "text": [
+            "initial state --(action: empty)--> state: 2 --(action: open0)--> state: 7 --(action: empty)--> state: 17 --(action: stay)--> state: 33\n"
+          ]
+        }
+      ],
       "source": [
         "#we can also use another simulator function that returns a path instead of a partial model:\n",
         "path = stormvogel.simulator.simulate_path(mdp, steps=4, scheduler=scheduler, seed=123456)\n",
@@ -161,9 +264,9 @@
   ],
   "metadata": {
     "kernelspec": {
-      "display_name": "Python (stormvogel)",
+      "display_name": ".venv",
       "language": "python",
-      "name": "stormvogel-env"
+      "name": "python3"
     },
     "language_info": {
       "codemirror_mode": {
@@ -175,7 +278,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.12.7"
+      "version": "3.12.6"
     }
   },
   "nbformat": 4,
diff --git a/docs/getting_started/study.html b/docs/getting_started/study.html
index 5a795e6..9cd3567 100644
--- a/docs/getting_started/study.html
+++ b/docs/getting_started/study.html
@@ -1,6 +1,6 @@
 
           <iframe
-                id="studyQvPbMkPXdR"
+                id="studyEVJCAxSSxH"
                 width="820"
                 height="620"
                 frameborder="0"
diff --git a/docs/getting_started/study.ipynb b/docs/getting_started/study.ipynb
index 7964016..5e48079 100644
--- a/docs/getting_started/study.ipynb
+++ b/docs/getting_started/study.ipynb
@@ -12,7 +12,14 @@
       "cell_type": "code",
       "execution_count": 1,
       "id": "e924f3a4",
-      "metadata": {},
+      "metadata": {
+        "execution": {
+          "iopub.execute_input": "2024-11-07T11:14:11.101575Z",
+          "iopub.status.busy": "2024-11-07T11:14:11.101328Z",
+          "iopub.status.idle": "2024-11-07T11:14:11.254426Z",
+          "shell.execute_reply": "2024-11-07T11:14:11.254198Z"
+        }
+      },
       "outputs": [],
       "source": [
         "import stormvogel.model\n",
@@ -33,7 +40,14 @@
       "cell_type": "code",
       "execution_count": 2,
       "id": "1f2120a8",
-      "metadata": {},
+      "metadata": {
+        "execution": {
+          "iopub.execute_input": "2024-11-07T11:14:11.256575Z",
+          "iopub.status.busy": "2024-11-07T11:14:11.256391Z",
+          "iopub.status.idle": "2024-11-07T11:14:11.258358Z",
+          "shell.execute_reply": "2024-11-07T11:14:11.258161Z"
+        }
+      },
       "outputs": [],
       "source": [
         "mdp = stormvogel.model.new_mdp(\"Monty Hall\")\n",
@@ -53,7 +67,14 @@
       "cell_type": "code",
       "execution_count": 3,
       "id": "1143b6c0",
-      "metadata": {},
+      "metadata": {
+        "execution": {
+          "iopub.execute_input": "2024-11-07T11:14:11.259656Z",
+          "iopub.status.busy": "2024-11-07T11:14:11.259571Z",
+          "iopub.status.idle": "2024-11-07T11:14:11.261067Z",
+          "shell.execute_reply": "2024-11-07T11:14:11.260841Z"
+        }
+      },
       "outputs": [],
       "source": [
         "init.set_transitions([\n",
@@ -74,7 +95,14 @@
       "cell_type": "code",
       "execution_count": 4,
       "id": "64bfb789",
-      "metadata": {},
+      "metadata": {
+        "execution": {
+          "iopub.execute_input": "2024-11-07T11:14:11.262382Z",
+          "iopub.status.busy": "2024-11-07T11:14:11.262288Z",
+          "iopub.status.idle": "2024-11-07T11:14:11.263897Z",
+          "shell.execute_reply": "2024-11-07T11:14:11.263698Z"
+        }
+      },
       "outputs": [],
       "source": [
         "studied.set_transitions([\n",
@@ -95,7 +123,14 @@
       "cell_type": "code",
       "execution_count": 5,
       "id": "89d1d749",
-      "metadata": {},
+      "metadata": {
+        "execution": {
+          "iopub.execute_input": "2024-11-07T11:14:11.265166Z",
+          "iopub.status.busy": "2024-11-07T11:14:11.265077Z",
+          "iopub.status.idle": "2024-11-07T11:14:11.266590Z",
+          "shell.execute_reply": "2024-11-07T11:14:11.266369Z"
+        }
+      },
       "outputs": [],
       "source": [
         "not_studied.set_transitions([\n",
@@ -116,7 +151,14 @@
       "cell_type": "code",
       "execution_count": 6,
       "id": "2f8fb42e",
-      "metadata": {},
+      "metadata": {
+        "execution": {
+          "iopub.execute_input": "2024-11-07T11:14:11.267847Z",
+          "iopub.status.busy": "2024-11-07T11:14:11.267771Z",
+          "iopub.status.idle": "2024-11-07T11:14:11.269286Z",
+          "shell.execute_reply": "2024-11-07T11:14:11.269078Z"
+        }
+      },
       "outputs": [],
       "source": [
         "pass_test.set_transitions([(1, end)])\n",
@@ -135,7 +177,14 @@
       "cell_type": "code",
       "execution_count": 7,
       "id": "bfcbb7fa",
-      "metadata": {},
+      "metadata": {
+        "execution": {
+          "iopub.execute_input": "2024-11-07T11:14:11.270722Z",
+          "iopub.status.busy": "2024-11-07T11:14:11.270627Z",
+          "iopub.status.idle": "2024-11-07T11:14:11.272208Z",
+          "shell.execute_reply": "2024-11-07T11:14:11.272004Z"
+        }
+      },
       "outputs": [],
       "source": [
         "reward_model = mdp.add_rewards(\"R\")\n",
@@ -154,16 +203,23 @@
     },
     {
       "cell_type": "code",
-      "execution_count": 10,
+      "execution_count": 8,
       "id": "0df1511e-565d-45d0-93a8-adafbfaaaefa",
-      "metadata": {},
+      "metadata": {
+        "execution": {
+          "iopub.execute_input": "2024-11-07T11:14:11.273450Z",
+          "iopub.status.busy": "2024-11-07T11:14:11.273379Z",
+          "iopub.status.idle": "2024-11-07T11:14:11.367637Z",
+          "shell.execute_reply": "2024-11-07T11:14:11.367418Z"
+        }
+      },
       "outputs": [
         {
           "data": {
             "text/html": [
               "\n",
               "          <iframe\n",
-              "                id=\"studyJItnPUbGyS\"\n",
+              "                id=\"studyEVJCAxSSxH\"\n",
               "                width=\"820\"\n",
               "                height=\"620\"\n",
               "                frameborder=\"0\"\n",
@@ -440,12 +496,12 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
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+              "value": "\n          <iframe\n                id=\"studyEVJCAxSSxH\"\n                width=\"820\"\n                height=\"620\"\n                frameborder=\"0\"\n                srcdoc=\"\n&lt;!DOCTYPE html&gt;\n&lt;html lang=&quot;en&quot;&gt;\n  &lt;head&gt;\n    &lt;title&gt;Network&lt;/title&gt;\n    &lt;script\n      type=&quot;text/javascript&quot;\n      src=&quot;https://unpkg.com/vis-network/standalone/umd/vis-network.min.js&quot;\n    &gt;&lt;/script&gt;\n    &lt;style type=&quot;text/css&quot;&gt;\n      #mynetwork {\n        \n        width: 800px;\n        height: 600px;\n        border: 1px solid lightgray;\n        \n      }\n    &lt;/style&gt;\n  &lt;/head&gt;\n  &lt;body&gt;\n    &lt;div id=&quot;mynetwork&quot;&gt;&lt;/div&gt;\n    &lt;script type=&quot;text/javascript&quot;&gt;\n        \n        var nodes = new vis.DataSet([{ id: 0, label: `init`, group: &quot;states&quot;, x: 5, y: -186 },\n{ id: 1, label: `studied`, group: &quot;states&quot;, x: 98, y: 11 },\n{ id: 2, label: `didn&#x27;t study\nR: 15`, group: &quot;states&quot;, x: -120, y: -7 },\n{ id: 3, label: `pass test\nR: 100`, group: &quot;states&quot;, x: 0, y: 99 },\n{ id: 4, label: `fail test\nR: 0`, group: &quot;states&quot;, x: -24, y: 37 },\n{ id: 5, label: `end`, group: &quot;states&quot;, x: -62, y: 182 },\n{ id: 10000000000, label: `study`, group: &quot;actions&quot;, x: 119, y: -118 },\n{ id: 10000000001, label: `don&#x27;t study`, group: &quot;actions&quot;, x: -122, y: -141 },\n]);\n        var edges = new vis.DataSet([{ from: 0, to: 10000000000 },\n{ from: 10000000000, to: 1, label: &quot;1&quot; },\n{ from: 0, to: 10000000001 },\n{ from: 10000000001, to: 2, label: &quot;1&quot; },\n{ from: 1, to: 3, label: &quot;9/10&quot; },\n{ from: 1, to: 4, label: &quot;1/10&quot; },\n{ from: 2, to: 3, label: &quot;2/5&quot; },\n{ from: 2, to: 4, label: &quot;3/5&quot; },\n{ from: 3, to: 5, label: &quot;1&quot; },\n{ from: 4, to: 5, label: &quot;1&quot; },\n]);\n        var options = {\n  &quot;__fake_macros&quot;: {\n    &quot;__group_macro&quot;: {\n      &quot;borderWidth&quot;: 1,\n      &quot;color&quot;: {\n        &quot;background&quot;: &quot;white&quot;,\n        &quot;border&quot;: &quot;black&quot;,\n        &quot;highlight&quot;: {\n          &quot;background&quot;: &quot;white&quot;,\n          &quot;border&quot;: &quot;red&quot;\n        }\n      },\n      &quot;shape&quot;: &quot;ellipse&quot;,\n      &quot;mass&quot;: 1,\n      &quot;font&quot;: {\n        &quot;color&quot;: &quot;black&quot;,\n        &quot;size&quot;: 14\n      }\n    }\n  },\n  &quot;groups&quot;: {\n    &quot;states&quot;: {\n      &quot;borderWidth&quot;: 1,\n      &quot;color&quot;: {\n        &quot;background&quot;: &quot;#8ff0a4&quot;,\n        &quot;border&quot;: &quot;black&quot;,\n        &quot;highlight&quot;: {\n          &quot;background&quot;: &quot;white&quot;,\n          &quot;border&quot;: &quot;red&quot;\n        }\n      },\n      &quot;shape&quot;: &quot;ellipse&quot;,\n      &quot;mass&quot;: 1,\n      &quot;font&quot;: {\n        &quot;color&quot;: &quot;black&quot;,\n        &quot;size&quot;: 14\n      }\n    },\n    &quot;actions&quot;: {\n      &quot;borderWidth&quot;: 1,\n      &quot;color&quot;: {\n        &quot;background&quot;: &quot;#ffc0cb&quot;,\n        &quot;border&quot;: &quot;black&quot;,\n        &quot;highlight&quot;: {\n          &quot;background&quot;: &quot;white&quot;,\n          &quot;border&quot;: &quot;red&quot;\n        }\n      },\n      &quot;shape&quot;: &quot;box&quot;,\n      &quot;mass&quot;: 1,\n      &quot;font&quot;: {\n        &quot;color&quot;: &quot;black&quot;,\n        &quot;size&quot;: 14\n      }\n    },\n    &quot;scheduled_actions&quot;: {\n      &quot;borderWidth&quot;: 1,\n      &quot;color&quot;: {\n        &quot;background&quot;: &quot;pink&quot;,\n        &quot;border&quot;: &quot;black&quot;,\n        &quot;highlight&quot;: {\n          &quot;background&quot;: &quot;white&quot;,\n          &quot;border&quot;: &quot;red&quot;\n        }\n      },\n      &quot;shape&quot;: &quot;box&quot;,\n      &quot;mass&quot;: 1,\n      &quot;font&quot;: {\n        &quot;color&quot;: &quot;black&quot;,\n        &quot;size&quot;: 14\n      },\n      &quot;schedColor&quot;: false\n    }\n  },\n  &quot;reload_button&quot;: false,\n  &quot;edges&quot;: {\n    &quot;arrows&quot;: &quot;to&quot;,\n    &quot;font&quot;: {\n      &quot;color&quot;: &quot;black&quot;,\n      &quot;size&quot;: 14\n    },\n    &quot;color&quot;: {\n      &quot;color&quot;: &quot;black&quot;\n    }\n  },\n  &quot;numbers&quot;: {\n    &quot;fractions&quot;: true,\n    &quot;digits&quot;: 5\n  },\n  &quot;results_and_rewards&quot;: {\n    &quot;show_results&quot;: true,\n    &quot;resultSymbol&quot;: &quot;\\u2606&quot;,\n    &quot;show_rewards&quot;: true\n  },\n  &quot;layout&quot;: {\n    &quot;randomSeed&quot;: 5\n  },\n  &quot;misc&quot;: {\n    &quot;enable_physics&quot;: true,\n    &quot;width&quot;: 800,\n    &quot;height&quot;: 600,\n    &quot;explore&quot;: false\n  },\n  &quot;saving&quot;: {\n    &quot;relative_path&quot;: true,\n    &quot;filename&quot;: &quot;pinkgreen.json&quot;,\n    &quot;save_button&quot;: false,\n    &quot;load_button&quot;: false\n  },\n  &quot;positions&quot;: {\n    &quot;0&quot;: {\n      &quot;x&quot;: 5,\n      &quot;y&quot;: -186\n    },\n    &quot;1&quot;: {\n      &quot;x&quot;: 98,\n      &quot;y&quot;: 11\n    },\n    &quot;2&quot;: {\n      &quot;x&quot;: -120,\n      &quot;y&quot;: -7\n    },\n    &quot;3&quot;: {\n      &quot;x&quot;: 0,\n      &quot;y&quot;: 99\n    },\n    &quot;4&quot;: {\n      &quot;x&quot;: -24,\n      &quot;y&quot;: 37\n    },\n    &quot;5&quot;: {\n      &quot;x&quot;: -62,\n      &quot;y&quot;: 182\n    },\n    &quot;10000000000&quot;: {\n      &quot;x&quot;: 119,\n      &quot;y&quot;: -118\n    },\n    &quot;10000000001&quot;: {\n      &quot;x&quot;: -122,\n      &quot;y&quot;: -141\n    }\n  },\n  &quot;width&quot;: 800,\n  &quot;height&quot;: 600,\n  &quot;physics&quot;: true\n};\n        //js\nvar container = document.getElementById(&quot;mynetwork&quot;);\nvar data = {\n    nodes: nodes,\n    edges: edges,\n};\nvar network = new vis.Network(container, data, options);\nfunction makeAllNodesInvisible() {\n    ids = nodes.getIds();\n    for (let i = 0; i &lt; ids.length; i++) {\n        var nodeId = ids[i];\n        var node = nodes.get(nodeId);\n        node[&quot;hidden&quot;] = true;\n        nodes.update(node);\n    }\n};\nfunction makeNeighborsVisible(myNode) {\n    var ids = network.getConnectedNodes(myNode, &#x27;to&#x27;);\n    for (let i = 0; i &lt; ids.length; i++) {\n        var nodeId = ids[i];\n        var node = nodes.get(nodeId);\n        node[&quot;hidden&quot;] = false;\n        nodes.update(node);\n    }\n};\nfunction makeNodeVisible(nodeId) {\n    var node = nodes.get(nodeId);\n    node[&quot;hidden&quot;] = false;\n    nodes.update(node);\n};\nnetwork.on( &#x27;click&#x27;, function(properties) {\n    var nodeId = network.getNodeAt({x:properties.event.srcEvent.offsetX, y:properties.event.srcEvent.offsetY});\n    makeNeighborsVisible(nodeId);\n});\n\n    &lt;/script&gt;\n  &lt;/body&gt;\n&lt;/html&gt;\n\"\n                border:none !important;\n                allowfullscreen webkitallowfullscreen mozallowfullscreen\n          ></iframe>"
             }
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+              "_model_module_version": "1.0.0",
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+              "_view_count": null,
+              "_view_module": "@jupyter-widgets/output",
+              "_view_module_version": "1.0.0",
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@@ -767,7 +889,7 @@
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@@ -820,7 +942,27 @@
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