title: Are Q-learning and SARSA with greedy selection equivalent?
body: <p>The difference between Q-learning and SARSA is that Q-learning compares the current state and the best possible next state, whereas SARSA compares the current state against the actual next state.</p>
  
  <p>If a greedy selection policy is used, that is, the action with the highest action value is selected 100% of the time, are SARSA and Q-learning then identical?</p>