title: Reinforcement Learning with MDP for revenues optimization
body: <p>I want to modelize the service of selling seats on an airplane as an MDP( markov decision process) to use reinforcement learning for airline revenues optimization, for that I needed to define what would be: states, actions, policy, value and reward. I thought a little a bit about it, but i think there is still something missing.</p>
  
  <p>I modelize my system this way:</p>
  
  <ul>
  <li><code>States = (r,c)</code> where r is the number of passengers and c the number of seats bought so <code>r&gt;=c</code>.</li>
  <li><code>Actions = (p1,p2,p3)</code> that are the 3 prices. the objective is to decide which one of them give more revenues.</li>
  <li>Reward: revenues.</li>
  </ul>
  
  <p>Could you please tell me what do u think and help me?</p>
  
  <p>After the modelization, I have to implement all of that wit Reinforcement Learning. Is there a package that do the work ?</p>