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PacktPublishing · Oct 18, 2020 · 9cde734 · 9cde734
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diff --git a/chapter03/Recommending products.ipynb b/chapter03/Recommending products.ipynb
diff --git a/chapter04/Diagnosing a disease.ipynb b/chapter04/Diagnosing a disease.ipynb
diff --git a/chapter04/Predicting stock prices with confidence.ipynb b/chapter04/Predicting stock prices with confidence.ipynb
diff --git a/chapter05/Finding the shortest path.ipynb b/chapter05/Finding the shortest path.ipynb
diff --git a/chapter05/Making decisions based on knowledge.ipynb b/chapter05/Making decisions based on knowledge.ipynb
diff --git a/chapter05/Solving the n-queens problem.ipynb b/chapter05/Solving the n-queens problem.ipynb
diff --git a/chapter05/Writing a chess engine with Monte Carlo tree search.ipynb b/chapter05/Writing a chess engine with Monte Carlo tree search.ipynb
diff --git a/chapter06/Controling a cartpole.ipynb b/chapter06/Controling a cartpole.ipynb
@@ -773,6 +773,7 @@
     "ray.init(ignore_reinit_error=True)\n",
     "trainer = PPOTrainer\n",
     "\n",
+    "# if you run this on colab you might want to set num_workers=2\n",
     "analysis = tune.run(\n",
     "    trainer,\n",
     "    stop={'episode_reward_mean': 100},\n",
@@ -781,42 +782,6 @@
     ")"
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": 74,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Collecting keras-rl\n",
-      "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/ab/87/4b57eff8e4bd834cea0a75cd6c58198c9e42be29b600db9c14fafa72ec07/keras-rl-0.4.2.tar.gz (40kB)\n",
-      "\u001b[K     |████████████████████████████████| 40kB 320kB/s eta 0:00:01\n",
-      "\u001b[?25hCollecting keras>=2.0.7 (from keras-rl)\n",
-      "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/ad/fd/6bfe87920d7f4fd475acd28500a42482b6b84479832bdc0fe9e589a60ceb/Keras-2.3.1-py2.py3-none-any.whl (377kB)\n",
-      "\u001b[K     |████████████████████████████████| 378kB 1.2MB/s eta 0:00:01\n",
-      "\u001b[?25hRequirement already satisfied: h5py in ./anaconda3/lib/python3.7/site-packages (from keras>=2.0.7->keras-rl) (2.10.0)\n",
-      "Requirement already satisfied: pyyaml in ./anaconda3/lib/python3.7/site-packages (from keras>=2.0.7->keras-rl) (5.1.2)\n",
-      "Requirement already satisfied: six>=1.9.0 in ./anaconda3/lib/python3.7/site-packages (from keras>=2.0.7->keras-rl) (1.12.0)\n",
-      "Requirement already satisfied: keras-applications>=1.0.6 in ./anaconda3/lib/python3.7/site-packages (from keras>=2.0.7->keras-rl) (1.0.8)\n",
-      "Requirement already satisfied: keras-preprocessing>=1.0.5 in ./anaconda3/lib/python3.7/site-packages (from keras>=2.0.7->keras-rl) (1.1.0)\n",
-      "Requirement already satisfied: numpy>=1.9.1 in ./anaconda3/lib/python3.7/site-packages (from keras>=2.0.7->keras-rl) (1.17.2)\n",
-      "Requirement already satisfied: scipy>=0.14 in ./anaconda3/lib/python3.7/site-packages (from keras>=2.0.7->keras-rl) (1.4.1)\n",
-      "Building wheels for collected packages: keras-rl\n",
-      "  Building wheel for keras-rl (setup.py) ... \u001b[?25ldone\n",
-      "\u001b[?25h  Created wheel for keras-rl: filename=keras_rl-0.4.2-cp37-none-any.whl size=48380 sha256=c10a55df3269b59b5b41a9cafa9d7b283eed7a64947d55d910374e568d87aa9b\n",
-      "  Stored in directory: /home/ben/.cache/pip/wheels/7d/4d/84/9254c9f2e8f51865cb0dac8e79da85330c735551d31f73c894\n",
-      "Successfully built keras-rl\n",
-      "Installing collected packages: keras, keras-rl\n",
-      "Successfully installed keras-2.3.1 keras-rl-0.4.2\n"
-     ]
-    }
-   ],
-   "source": [
-    "!pip install keras-rl\n"
-   ]
-  },
   {
    "cell_type": "code",
    "execution_count": null,
@@ -841,7 +806,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.4"
+   "version": "3.6.11"
   }
  },
  "nbformat": 4,