def qLearnMain(gWorldArg, gammaArg, alphaArg, epsilonArg, printDebugStatementsFlagArg, screenWidthArg):
global gWorld, screenWidth, printDebugStatementsFlag
global gamma, alpha, epsilon
gWorld = gWorldArg
screenWidth = screenWidthArg
printDebugStatementsFlag = printDebugStatementsFlagArg
# Q Learning Parameters
gamma = gammaArg
alpha = alphaArg
epsilon = epsilonArg
print '{:^{screenWidth}}'.format('{:=^{w}}'.format('', w = screenWidth-10), screenWidth=screenWidth)
print '{:^{screenWidth}}'.format('{:^{w}}'.format('Welcome to Gold Explorer Using Reinforcement Learning - Q Learning', w = screenWidth-10), screenWidth=screenWidth)
print '{:^{screenWidth}}'.format('{:=^{w}}'.format('', w = screenWidth-10), screenWidth=screenWidth)
print
qLearn()
gWorld.printGridWorldRewardMatrix()
printGrids(gWorld)
gWorld.printGridWorldOptimumPolicyQValue()
print '{:^{screenWidth}}'.format('{:=^{w}}'.format('', w = screenWidth-10), screenWidth=screenWidth)
print '{:^{screenWidth}}'.format('{:^{w}}'.format('Thank you for using Gold Explorer Using Reinforcement Learning - Q Learning', w = screenWidth-10), screenWidth=screenWidth)
print '{:^{screenWidth}}'.format('{:=^{w}}'.format('', w = screenWidth-10), screenWidth=screenWidth)
print
def qLearnMain(gWorldArg, gammaArg, alphaArg, epsilonArg,
printDebugStatementsFlagArg, screenWidthArg):
global gWorld, screenWidth, printDebugStatementsFlag
global gamma, alpha, epsilon
gWorld = gWorldArg
screenWidth = screenWidthArg
printDebugStatementsFlag = printDebugStatementsFlagArg
# Q Learning Parameters
gamma = gammaArg
alpha = alphaArg
epsilon = epsilonArg
print '{:^{screenWidth}}'.format('{:=^{w}}'.format('', w=screenWidth - 10),
screenWidth=screenWidth)
print '{:^{screenWidth}}'.format('{:^{w}}'.format(
'Welcome to Gold Explorer Using Reinforcement Learning - Q Learning',
w=screenWidth - 10),
screenWidth=screenWidth)
print '{:^{screenWidth}}'.format('{:=^{w}}'.format('', w=screenWidth - 10),
screenWidth=screenWidth)
print
qLearn()
gWorld.printGridWorldRewardMatrix()
printGrids(gWorld)
gWorld.printGridWorldOptimumPolicyQValue()
print '{:^{screenWidth}}'.format('{:=^{w}}'.format('', w=screenWidth - 10),
screenWidth=screenWidth)
print '{:^{screenWidth}}'.format('{:^{w}}'.format(
'Thank you for using Gold Explorer Using Reinforcement Learning - Q Learning',
w=screenWidth - 10),
screenWidth=screenWidth)
print '{:^{screenWidth}}'.format('{:=^{w}}'.format('', w=screenWidth - 10),
screenWidth=screenWidth)
print
def qLearn():
global epsilon
# Counters
iterationCount = 0
episodeCount=0
currGrid = gWorld.getGrids()[0][0]
epsilon_choices = randChoiceList([('explore', epsilon), ('exploit', 1-epsilon )])
sys.stdout.write('\n\tIterating.') if printDebugStatementsFlag == False else None
while True:
oldGridMatrixValue = getGridWorldQValues(gWorld) # To Check for convergence
episodeCount +=1
goalTraversedFlag = False
sys.stdout.write('\n{:^{screenWidth}}\n'.format('{:#^{w}}'.format(' Episode #'+str(episodeCount)+" ", w = screenWidth-10), screenWidth=screenWidth)) if printDebugStatementsFlag == True else None
if episodeCount % 100 == 0 :
epsilon = epsilon / (1 + epsilon)
sys.stdout.write('\n\n{:^{screenWidth}}\n'.format('{:<{w}}'.format('***Updating epsilon to:'+ str(epsilon)+" ", w = screenWidth-10), screenWidth=screenWidth)) if printDebugStatementsFlag == True else None
while True:
if currGrid.isGoal():
sys.stdout.write('\n{:^{screenWidth}}\n'.format('{:<{w}}'.format('***Goal Reached Once, setting the flag', w = screenWidth-10), screenWidth=screenWidth)) if printDebugStatementsFlag == True else None
goalTraversedFlag = True
sys.stdout.write('\n{:^{screenWidth}}'.format('{:*^{w}}'.format('', w = screenWidth-10), screenWidth=screenWidth)) if printDebugStatementsFlag == True else None
sys.stdout.write('\n{:^{screenWidth}}'.format('{:<{w}}'.format(" Current Grid: "+ str(currGrid.getGridName())+ "\tQ Value : " + str(currGrid.value) + "\tReward : " + str(currGrid.gridReward), w = screenWidth-10), screenWidth=screenWidth)) if printDebugStatementsFlag == True else None
sys.stdout.write('\n{:^{screenWidth}}'.format('{:*^{w}}'.format('', w = screenWidth-10), screenWidth=screenWidth)) if printDebugStatementsFlag == True else None
if currGrid.isBlocked():
sys.stdout.write('\n{:^{screenWidth}}'.format('{:<{w}}'.format('Blocked Grid... Skipping', w = screenWidth-10), screenWidth=screenWidth)) if printDebugStatementsFlag == True else None
else:
iterationCount +=1
if iterationCount % 200 == 0:
sys.stdout.write(".") if printDebugStatementsFlag == False else None
if iterationCount % 10500 == 0:
sys.stdout.write("\n\t") if printDebugStatementsFlag == False else None
sys.stdout.write('\n{:^{screenWidth}}\n'.format('{:#^{w}}'.format(' Iteration #'+str(iterationCount)+" ", w = screenWidth-10), screenWidth=screenWidth)) if printDebugStatementsFlag == True else None
exploitOrExplore = random.choice(epsilon_choices)
if exploitOrExplore == 'explore':
sys.stdout.write('\n{:^{screenWidth}}\n'.format('{:<{w}}'.format('*****Exploring', w = screenWidth-10), screenWidth=screenWidth)) if printDebugStatementsFlag == True else None
nextGridDirection,nextGrid = explore(currGrid, gWorld)
elif exploitOrExplore == 'exploit':
sys.stdout.write('\n{:^{screenWidth}}\n'.format('{:<{w}}'.format('*****Exploiting', w = screenWidth-10), screenWidth=screenWidth)) if printDebugStatementsFlag == True else None
nextGridDirection,nextGrid = exploit(currGrid, gWorld)
allQValuesOfNextGrid = [nextGrid.getQLeft(),nextGrid.getQRight(),nextGrid.getQUp(),nextGrid.getQDown()]
maxQValueNextGrid = max(allQValuesOfNextGrid)
sys.stdout.write('\n{:^{screenWidth}}'.format('{:<{w}}'.format("Action Chosen \t: "+ nextGridDirection+ "\tNextGrid : ("+ nextGrid.getGridName()+")" , w = screenWidth-10), screenWidth=screenWidth)) if printDebugStatementsFlag == True else None
sys.stdout.write('\n{:^{screenWidth}}'.format('{:<{w}}'.format("All QValues Of NextGrid : "+ ','.join([str(round(v,3)) for v in allQValuesOfNextGrid])+ "\tMax : " + str(maxQValueNextGrid), w = screenWidth-10), screenWidth=screenWidth)) if printDebugStatementsFlag == True else None
# Compute the Q(s,a)
qValofCurrGrid = getQValueforCurrGrid(currGrid, nextGridDirection)
newQValofCurrGrid = qValofCurrGrid + alpha * (currGrid.getGridReward() + (gamma * maxQValueNextGrid) - qValofCurrGrid)
# Update Q Value of the current grid for the corresponding direction
updateGridQValue(currGrid, nextGridDirection, newQValofCurrGrid)
sys.stdout.write('\n{:^{screenWidth}}'.format('{:<{w}}'.format("Using the Q(s,a) equation, updated Grid "+ currGrid.getGridName()+"'s "+ nextGridDirection+" QValue to : "+ str(newQValofCurrGrid), w = screenWidth-10), screenWidth=screenWidth)) if printDebugStatementsFlag == True else None
# Update current grid
currGrid = nextGrid
if goalTraversedFlag == True:
sys.stdout.write('\n{:^{screenWidth}}\n'.format('{:<{w}}'.format("Goal Reached", w = screenWidth-10), screenWidth=screenWidth)) if printDebugStatementsFlag == True else None
break
if printDebugStatementsFlag:
printGrids(gWorld)
print "\n\n"
currGrid = gWorld.getGrids()[0][0]
newGridMatrixValue = getGridWorldQValues(gWorld)
convergedFlag = isConverged(oldGridMatrixValue,newGridMatrixValue)
if convergedFlag == True:
print '\n\n{:^{screenWidth}}'.format('{:%^{w}}'.format(" Total # of Iterations\t:" + str(iterationCount)+" ", w = screenWidth-20), screenWidth=screenWidth)
print '\n{:^{screenWidth}}\n'.format('{:%^{w}}'.format(" Total # of Episodes\t:" + str(episodeCount)+" ", w = screenWidth-20), screenWidth=screenWidth)
break
def qLearn():
global epsilon
# Counters
iterationCount = 0
episodeCount = 0
currGrid = gWorld.getGrids()[0][0]
epsilon_choices = randChoiceList([('explore', epsilon),
('exploit', 1 - epsilon)])
sys.stdout.write(
'\n\tIterating.') if printDebugStatementsFlag == False else None
while True:
oldGridMatrixValue = getGridWorldQValues(
gWorld) # To Check for convergence
episodeCount += 1
goalTraversedFlag = False
sys.stdout.write('\n{:^{screenWidth}}\n'.format(
'{:#^{w}}'.format(' Episode #' + str(episodeCount) + " ",
w=screenWidth - 10),
screenWidth=screenWidth)
) if printDebugStatementsFlag == True else None
if episodeCount % 100 == 0:
epsilon = epsilon / (1 + epsilon)
sys.stdout.write('\n\n{:^{screenWidth}}\n'.format(
'{:<{w}}'.format('***Updating epsilon to:' + str(epsilon) +
" ",
w=screenWidth - 10),
screenWidth=screenWidth)
) if printDebugStatementsFlag == True else None
while True:
if currGrid.isGoal():
sys.stdout.write('\n{:^{screenWidth}}\n'.format(
'{:<{w}}'.format('***Goal Reached Once, setting the flag',
w=screenWidth - 10),
screenWidth=screenWidth
)) if printDebugStatementsFlag == True else None
goalTraversedFlag = True
sys.stdout.write('\n{:^{screenWidth}}'.format(
'{:*^{w}}'.format('', w=screenWidth - 10),
screenWidth=screenWidth)
) if printDebugStatementsFlag == True else None
sys.stdout.write('\n{:^{screenWidth}}'.format(
'{:<{w}}'.format(" Current Grid: " +
str(currGrid.getGridName()) + "\tQ Value : " +
str(currGrid.value) + "\tReward : " +
str(currGrid.gridReward),
w=screenWidth - 10),
screenWidth=screenWidth)
) if printDebugStatementsFlag == True else None
sys.stdout.write('\n{:^{screenWidth}}'.format(
'{:*^{w}}'.format('', w=screenWidth - 10),
screenWidth=screenWidth)
) if printDebugStatementsFlag == True else None
if currGrid.isBlocked():
sys.stdout.write('\n{:^{screenWidth}}'.format(
'{:<{w}}'.format('Blocked Grid... Skipping',
w=screenWidth - 10),
screenWidth=screenWidth
)) if printDebugStatementsFlag == True else None
else:
iterationCount += 1
if iterationCount % 200 == 0:
sys.stdout.write(
".") if printDebugStatementsFlag == False else None
if iterationCount % 10500 == 0:
sys.stdout.write(
"\n\t") if printDebugStatementsFlag == False else None
sys.stdout.write('\n{:^{screenWidth}}\n'.format(
'{:#^{w}}'.format(' Iteration #' + str(iterationCount) +
" ",
w=screenWidth - 10),
screenWidth=screenWidth
)) if printDebugStatementsFlag == True else None
exploitOrExplore = random.choice(epsilon_choices)
if exploitOrExplore == 'explore':
sys.stdout.write('\n{:^{screenWidth}}\n'.format(
'{:<{w}}'.format('*****Exploring', w=screenWidth - 10),
screenWidth=screenWidth
)) if printDebugStatementsFlag == True else None
nextGridDirection, nextGrid = explore(currGrid, gWorld)
elif exploitOrExplore == 'exploit':
sys.stdout.write('\n{:^{screenWidth}}\n'.format(
'{:<{w}}'.format('*****Exploiting', w=screenWidth -
10),
screenWidth=screenWidth
)) if printDebugStatementsFlag == True else None
nextGridDirection, nextGrid = exploit(currGrid, gWorld)
allQValuesOfNextGrid = [
nextGrid.getQLeft(),
nextGrid.getQRight(),
nextGrid.getQUp(),
nextGrid.getQDown()
]
maxQValueNextGrid = max(allQValuesOfNextGrid)
sys.stdout.write('\n{:^{screenWidth}}'.format(
'{:<{w}}'.format("Action Chosen \t: " + nextGridDirection +
"\tNextGrid : (" +
nextGrid.getGridName() + ")",
w=screenWidth - 10),
screenWidth=screenWidth
)) if printDebugStatementsFlag == True else None
sys.stdout.write('\n{:^{screenWidth}}'.format(
'{:<{w}}'.format("All QValues Of NextGrid : " + ','.join(
[str(round(v, 3)) for v in allQValuesOfNextGrid]) +
"\tMax : " + str(maxQValueNextGrid),
w=screenWidth - 10),
screenWidth=screenWidth
)) if printDebugStatementsFlag == True else None
# Compute the Q(s,a)
qValofCurrGrid = getQValueforCurrGrid(currGrid,
nextGridDirection)
newQValofCurrGrid = qValofCurrGrid + alpha * (
currGrid.getGridReward() +
(gamma * maxQValueNextGrid) - qValofCurrGrid)
# Update Q Value of the current grid for the corresponding direction
updateGridQValue(currGrid, nextGridDirection,
newQValofCurrGrid)
sys.stdout.write(
'\n{:^{screenWidth}}'.format('{:<{w}}'.format(
"Using the Q(s,a) equation, updated Grid " +
currGrid.getGridName() + "'s " + nextGridDirection +
" QValue to : " + str(newQValofCurrGrid),
w=screenWidth - 10),
screenWidth=screenWidth)
) if printDebugStatementsFlag == True else None
# Update current grid
currGrid = nextGrid
if goalTraversedFlag == True:
sys.stdout.write('\n{:^{screenWidth}}\n'.format(
'{:<{w}}'.format("Goal Reached", w=screenWidth - 10),
screenWidth=screenWidth
)) if printDebugStatementsFlag == True else None
break
if printDebugStatementsFlag:
printGrids(gWorld)
print "\n\n"
currGrid = gWorld.getGrids()[0][0]
newGridMatrixValue = getGridWorldQValues(gWorld)
convergedFlag = isConverged(oldGridMatrixValue, newGridMatrixValue)
if convergedFlag == True:
print '\n\n{:^{screenWidth}}'.format('{:%^{w}}'.format(
" Total # of Iterations\t:" + str(iterationCount) + " ",
w=screenWidth - 20),
screenWidth=screenWidth)
print '\n{:^{screenWidth}}\n'.format('{:%^{w}}'.format(
" Total # of Episodes\t:" + str(episodeCount) + " ",
w=screenWidth - 20),
screenWidth=screenWidth)
break
