my_grid.setCurrentPosition(3, 2) # start position
my_grid.printGrid()
for k in xrange(0, 10000): # number of trials
for i in xrange(my_grid.rows - 1, -1, -1):
for j in xrange(my_grid.cols - 1, -1, -1):
my_grid.TDLearning(i, j)
# my_grid.printUtilities()
# my_grid.printVisitedCount()
# my_grid.printQUtilities()
# for i in xrange(0, 10): #number of moves
# my_grid.TDLearning(my_grid.currRow, my_grid.currCol)
# nextMove = my_grid.grid[my_grid.currRow][my_grid.currCol].qIntendedDirection
# my_grid.move(nextMove)
# my_grid.printUtilities()
# my_grid.printVisitedCount()
# my_grid.printQUtilities()
# my_grid.printRMSErrors()
for i in xrange(0, my_grid.rows):
for j in xrange(0, my_grid.cols):
my_grid.grid[i][j].calcRMSError()
my_grid.printUtilities()
my_grid.printVisitedCount()
my_grid.printQUtilities()
my_grid.printQIntendedDirections()
my_grid.printRMSErrors()
