diff --git a/agents.ipynb b/agents.ipynb
index ed6920bd0..65878bbab 100644
--- a/agents.ipynb
+++ b/agents.ipynb
@@ -4,6 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
+    "\n",
     "# AGENT #\n",
     "\n",
     "An agent, as defined in 2.1 is anything that can perceive its <b>environment</b> through sensors, and act upon that environment through actuators based on its <b>agent program</b>. This can be a dog, robot, or even you. As long as you can perceive the environment and act on it, you are an agent. This notebook will explain how to implement a simple agent, create an environment, and create a program that helps the agent act on the environment based on its percepts.\n",
@@ -17,6 +18,7 @@
    "cell_type": "code",
    "execution_count": 1,
    "metadata": {
+    "collapsed": true,
     "scrolled": true
    },
    "outputs": [],
@@ -80,7 +82,9 @@
   {
    "cell_type": "code",
    "execution_count": 3,
-   "metadata": {},
+   "metadata": {
+    "collapsed": true
+   },
    "outputs": [],
    "source": [
     "class Food(Thing):\n",
@@ -151,7 +155,9 @@
   {
    "cell_type": "code",
    "execution_count": 4,
-   "metadata": {},
+   "metadata": {
+    "collapsed": true
+   },
    "outputs": [],
    "source": [
     "class BlindDog(Agent):\n",
@@ -163,14 +169,12 @@
     "    def eat(self, thing):\n",
     "        '''returns True upon success or False otherwise'''\n",
     "        if isinstance(thing, Food):\n",
-    "            #print(\"Dog: Ate food at {}.\".format(self.location))\n",
     "            return True\n",
     "        return False\n",
     "    \n",
     "    def drink(self, thing):\n",
     "        ''' returns True upon success or False otherwise'''\n",
     "        if isinstance(thing, Water):\n",
-    "            #print(\"Dog: Drank water at {}.\".format(self.location))\n",
     "            return True\n",
     "        return False\n",
     "        \n",
@@ -456,7 +460,9 @@
   {
    "cell_type": "code",
    "execution_count": 10,
-   "metadata": {},
+   "metadata": {
+    "collapsed": true
+   },
    "outputs": [],
    "source": [
     "from random import choice\n",
@@ -487,14 +493,12 @@
     "    def eat(self, thing):\n",
     "        '''returns True upon success or False otherwise'''\n",
     "        if isinstance(thing, Food):\n",
-    "            #print(\"Dog: Ate food at {}.\".format(self.location))\n",
     "            return True\n",
     "        return False\n",
     "    \n",
     "    def drink(self, thing):\n",
     "        ''' returns True upon success or False otherwise'''\n",
     "        if isinstance(thing, Water):\n",
-    "            #print(\"Dog: Drank water at {}.\".format(self.location))\n",
     "            return True\n",
     "        return False\n",
     "        \n",
@@ -546,11 +550,9 @@
     "        if action == 'turnright':\n",
     "            print('{} decided to {} at location: {}'.format(str(agent)[1:-1], action, agent.location))\n",
     "            agent.turn(Direction.R)\n",
-    "            #print('now facing {}'.format(agent.direction.direction))\n",
     "        elif action == 'turnleft':\n",
     "            print('{} decided to {} at location: {}'.format(str(agent)[1:-1], action, agent.location))\n",
     "            agent.turn(Direction.L)\n",
-    "            #print('now facing {}'.format(agent.direction.direction))\n",
     "        elif action == 'moveforward':\n",
     "            loc = copy.deepcopy(agent.location) # find out the target location\n",
     "            if agent.direction.direction == Direction.R:\n",
@@ -561,7 +563,6 @@
     "                loc[1] += 1\n",
     "            elif agent.direction.direction == Direction.U:\n",
     "                loc[1] -= 1\n",
-    "            #print('{} at {} facing {}'.format(agent, loc, agent.direction.direction))\n",
     "            if self.is_inbounds(loc):# move only if the target is a valid location\n",
     "                print('{} decided to move {}wards at location: {}'.format(str(agent)[1:-1], agent.direction.direction, agent.location))\n",
     "                agent.moveforward()\n",
@@ -664,11 +665,9 @@
     "        if action == 'turnright':\n",
     "            print('{} decided to {} at location: {}'.format(str(agent)[1:-1], action, agent.location))\n",
     "            agent.turn(Direction.R)\n",
-    "            #print('now facing {}'.format(agent.direction.direction))\n",
     "        elif action == 'turnleft':\n",
     "            print('{} decided to {} at location: {}'.format(str(agent)[1:-1], action, agent.location))\n",
     "            agent.turn(Direction.L)\n",
-    "            #print('now facing {}'.format(agent.direction.direction))\n",
     "        elif action == 'moveforward':\n",
     "            loc = copy.deepcopy(agent.location) # find out the target location\n",
     "            if agent.direction.direction == Direction.R:\n",
@@ -679,7 +678,6 @@
     "                loc[1] += 1\n",
     "            elif agent.direction.direction == Direction.U:\n",
     "                loc[1] -= 1\n",
-    "            #print('{} at {} facing {}'.format(agent, loc, agent.direction.direction))\n",
     "            if self.is_inbounds(loc):# move only if the target is a valid location\n",
     "                print('{} decided to move {}wards at location: {}'.format(str(agent)[1:-1], agent.direction.direction, agent.location))\n",
     "                agent.moveforward()\n",
@@ -1157,7 +1155,9 @@
   {
    "cell_type": "code",
    "execution_count": 4,
-   "metadata": {},
+   "metadata": {
+    "collapsed": true
+   },
    "outputs": [],
    "source": [
     "from ipythonblocks import BlockGrid\n",
@@ -1252,7 +1252,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.5.4rc1"
+   "version": "3.6.4"
   }
  },
  "nbformat": 4,