title: How to interpret the observations of RAM environments in OpenAI gym?
body: <p>In some OpenAI gym environments, there is a "ram" version. For example: <code>Breakout-v0</code> and <code>Breakout-ram-v0</code>. </p>
  
  <p>Using <code>Breakout-ram-v0</code>, each observation is an array of length 128.</p>
  
  <p><strong>Question</strong>: How can I transform an observation of <code>Breakout-v0</code> (which is a 160 x 210 image) into the form of an observation of <code>Breakout-ram-v0</code> (which is an array of length 128)?</p>
  
  <p>My idea is to train a model on the <code>Breakout-ram-v0</code> and display the trained model playing using the <code>Breakout-v0</code> environment.</p>