anchor.diff:  average reward obtained in this case is -1.17 for gold-standard
   learning and -0.59 for HORDQ-A)
   
  -------------------------------------------------------------------------
  +........................................................................
   WASTE-PROG> (learn-behavior)
   Learning
   Episode 0................................
  
positive.code: 
  Here is an example for a manual interaction with the environment:
  
  ------------------------------------------------------------------------
  WASTE-PROG> (setf *use-large-environment* t)
  
  T
  WASTE-PROG> (explore-environment t)
  Welcome to the robotic waste collection example.
  
  This environment demonstrates a robot that moves around on a rectangular grid, picks up waste
  and delivers it to a drop-off zone.  X's on the map represent walls, blank spaces are roads.
  The robot is represented by 'r' as long as it does not carry waste, by 'R' as soon as it has
  picked up waste.  You can move by entering N, E, S, W; if the robot is on the same grid field as
  the waste you can pick it up by entering PICKUP, if you are in a drop-off zone you can drop the
  waste and thereby end the episode (and collect the reward) by entering DROP.  To quit the
  environment, enter NIL.  (All input can be in lower or upper case.)
  Last observation was 
  XXXXXXXXXXXXXX
  XX  rr      XX
  
negative.code: NIL
  WASTE-PROG> (evaluate-performance)
  Evaluating policies.....................................................
      ...............................................
  Evaluating policies.....................................................
      ...............................................
  
  Learning curves are:
  
  