Is there any difference between reward and return in reinforcement learning? I am reading Sutton and Barto's book on reinforcement learning. I thought that reward and return were the same things. 

However, in Section 5.6 of the book, 3rd line, first paragraph, it is written:


  Whereas in Chapter 2 we averaged rewards, in Monte Carlo methods we average returns.


What does it mean? Are rewards and returns different things?
Return refers to the total discounted reward, starting from the current timestep.