From af1451aca9180f154fc4b98ae083db4bd2bee6a9 Mon Sep 17 00:00:00 2001
From: RuanJohn <ruanjdekock@gmail.com>
Date: Mon, 4 Sep 2023 14:03:59 +0000
Subject: [PATCH] fix: fix link in table of contents

---
 practicals/RL_2023_prac.ipynb | 59 ++++++++++++++++-------------------
 1 file changed, 27 insertions(+), 32 deletions(-)

diff --git a/practicals/RL_2023_prac.ipynb b/practicals/RL_2023_prac.ipynb
index 990d0dc..d60f98d 100644
--- a/practicals/RL_2023_prac.ipynb
+++ b/practicals/RL_2023_prac.ipynb
@@ -182,6 +182,8 @@
         "\n",
         ">>>>[Build your own DQN!](#scrollTo=DN4gEJXabSvA)\n",
         "\n",
+        ">>[Beyond Discrete Actions - Policy Gradient Methods (Homework)](#scrollTo=G--a37gzd214)\n",
+        "\n",
         ">>[Conclusion](#scrollTo=fV3YG7QOZD-B)\n",
         "\n",
         ">>[Feedback](#scrollTo=o1ndpYE50BpG)\n",
@@ -219,11 +221,7 @@
       "execution_count": null,
       "metadata": {
         "cellView": "form",
-        "colab": {
-          "base_uri": "https://localhost:8080/"
-        },
-        "id": "YBdDHcI_ArCR",
-        "outputId": "d54005ef-e8d4-4f04-df58-807c5682912f"
+        "id": "YBdDHcI_ArCR"
       },
       "outputs": [],
       "source": [
@@ -853,11 +851,7 @@
       "cell_type": "code",
       "execution_count": null,
       "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/"
-        },
-        "id": "3-c9WC0VksSE",
-        "outputId": "da250547-844b-422b-828d-4aa277fc6508"
+        "id": "3-c9WC0VksSE"
       },
       "outputs": [],
       "source": [
@@ -891,11 +885,7 @@
       "cell_type": "code",
       "execution_count": null,
       "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/"
-        },
-        "id": "VpyHyC72mdLR",
-        "outputId": "9a8869f9-9955-4560-a327-d6ec00a9675a"
+        "id": "VpyHyC72mdLR"
       },
       "outputs": [],
       "source": [
@@ -958,11 +948,7 @@
       "cell_type": "code",
       "execution_count": null,
       "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/"
-        },
-        "id": "w5WIsxQ8lrrt",
-        "outputId": "a9fef971-16c8-405a-fc55-de0597a0577f"
+        "id": "w5WIsxQ8lrrt"
       },
       "outputs": [],
       "source": [
@@ -1290,11 +1276,7 @@
       "cell_type": "code",
       "execution_count": null,
       "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/"
-        },
-        "id": "DFMkiQVlzpHS",
-        "outputId": "3df6502b-2c45-4507-d2ff-faca57e8bd9e"
+        "id": "DFMkiQVlzpHS"
       },
       "outputs": [],
       "source": [
@@ -1348,12 +1330,7 @@
       "execution_count": null,
       "metadata": {
         "cellView": "form",
-        "colab": {
-          "base_uri": "https://localhost:8080/",
-          "height": 421
-        },
-        "id": "5yaXB8MgzsWR",
-        "outputId": "a5c75485-cea2-43b1-d731-6151e1e065c5"
+        "id": "5yaXB8MgzsWR"
       },
       "outputs": [],
       "source": [
@@ -3664,6 +3641,24 @@
         "\"\"\" % data_url)"
       ]
     },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "G--a37gzd214"
+      },
+      "source": [
+        "## Beyond Discrete Actions - Policy Gradient Methods (Homework)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "PS6JUPeed214"
+      },
+      "source": [
+        "We have only covered a very limited set of reinforcement learning methods. If you would like to learn about a whole other family of techniques (on which current state of the art methods are based) please have a look at the practical from 2022 [here](https://colab.research.google.com/github/deep-learning-indaba/indaba-pracs-2022/blob/main/practicals/introduction_to_reinforcement_learning.ipynb)."
+      ]
+    },
     {
       "cell_type": "markdown",
       "metadata": {
@@ -3775,4 +3770,4 @@
   },
   "nbformat": 4,
   "nbformat_minor": 0
-}
+}
\ No newline at end of file