Update execution counts in Jupyter notebooks and replace CliffWalking GIF with a new version

M2/Reinforcement Learning/Lab 5A - TD prediction with random walk.ipynb

@@ -18,7 +18,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 1,
    "id": "55bc0488-c0e4-40f3-86d0-f77947023fff",
    "metadata": {},
    "outputs": [],
@@ -112,7 +112,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 2,
    "id": "7abd9d0e-75db-4d0c-a880-573e4cccff58",
    "metadata": {},
    "outputs": [],
@@ -215,7 +215,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 3,
    "id": "f5167cca-767b-4cec-bd93-092d57b5d9ca",
    "metadata": {},
    "outputs": [
@@ -240,7 +240,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 4,
    "id": "42f40fd2-a33d-4fda-b006-45bf3d7970e3",
    "metadata": {},
    "outputs": [],
@@ -265,7 +265,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 5,
    "id": "c33519e2-21ec-48e1-85be-e6e9c6ff33f4",
    "metadata": {},
    "outputs": [
@@ -306,7 +306,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 6,
    "id": "748fb97c-caa4-4c67-bb84-b128c716eee0",
    "metadata": {},
    "outputs": [],
@@ -418,7 +418,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 7,
    "id": "eded21db-775d-4182-9794-01970f1ee53f",
    "metadata": {},
    "outputs": [],
@@ -556,7 +556,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 8,
    "id": "925fdbbd-3e5b-43a6-906c-b58d0e66014c",
    "metadata": {},
    "outputs": [],
@@ -639,7 +639,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": 9,
    "id": "527b5624-c177-4540-8081-65e567352146",
    "metadata": {},
    "outputs": [
@@ -725,7 +725,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": 10,
    "id": "f1018e57-bb15-4993-9af8-bab3c42b31ce",
    "metadata": {},
    "outputs": [
@@ -857,7 +857,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
+   "execution_count": 11,
    "id": "f3b203df-6661-4b1b-ad5a-d6743ffbb3d0",
    "metadata": {},
    "outputs": [],
@@ -946,7 +946,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
+   "execution_count": 12,
    "id": "89b067ed-f28d-464e-8b28-77c8370c7b0b",
    "metadata": {},
    "outputs": [
@@ -1116,7 +1116,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 13,
    "id": "015472b2-21f8-40da-be30-badefa7b75c9",
    "metadata": {},
    "outputs": [],
@@ -1191,7 +1191,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": 14,
    "id": "e2e0020a-d65b-4c8e-ad80-adac05654d43",
    "metadata": {},
    "outputs": [
@@ -1285,7 +1285,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "studies",
+   "display_name": ".venv (3.13.9)",
    "language": "python",
    "name": "python3"
   },