Merge pull request awjuliani#47 from uoyssim/master

change save file format from cptk to ckpt

Double-Dueling-DQN.ipynb

@@ -292,7 +292,7 @@
     "y = .99 #Discount factor on the target Q-values\n",
     "startE = 1 #Starting chance of random action\n",
     "endE = 0.1 #Final chance of random action\n",
-    "anneling_steps = 10000. #How many steps of training to reduce startE to endE.\n",
+    "annealing_steps = 10000. #How many steps of training to reduce startE to endE.\n",
     "num_episodes = 10000 #How many episodes of game environment to train network with.\n",
     "pre_train_steps = 10000 #How many steps of random actions before training begins.\n",
     "max_epLength = 50 #The max allowed length of our episode.\n",
@@ -360,7 +360,7 @@
     "\n",
     "#Set the rate of random action decrease. \n",
     "e = startE\n",
-    "stepDrop = (startE - endE)/anneling_steps\n",
+    "stepDrop = (startE - endE)/annealing_steps\n",
     "\n",
     "#create lists to contain total rewards and steps per episode\n",
     "jList = []\n",
@@ -427,11 +427,11 @@
     "        rList.append(rAll)\n",
     "        #Periodically save the model. \n",
     "        if i % 1000 == 0:\n",
-    "            saver.save(sess,path+'/model-'+str(i)+'.cptk')\n",
+    "            saver.save(sess,path+'/model-'+str(i)+'.ckpt')\n",
     "            print(\"Saved Model\")\n",
     "        if len(rList) % 10 == 0:\n",
     "            print(total_steps,np.mean(rList[-10:]), e)\n",
-    "    saver.save(sess,path+'/model-'+str(i)+'.cptk')\n",
+    "    saver.save(sess,path+'/model-'+str(i)+'.ckpt')\n",
     "print(\"Percent of succesful episodes: \" + str(sum(rList)/num_episodes) + \"%\")"
    ]
   },