analysis.py

# analysis.py
# -----------
# Licensing Information: Please do not distribute or publish solutions to this
# project. You are free to use and extend these projects for educational
# purposes. The Pacman AI projects were developed at UC Berkeley, primarily by
# John DeNero (denero@cs.berkeley.edu) and Dan Klein (klein@cs.berkeley.edu).
# Student side autograding was added by Brad Miller, Nick Hay, and Pieter 
# Abbeel in Spring 2013.
# For more info, see http://inst.eecs.berkeley.edu/~cs188/pacman/pacman.html

######################
# ANALYSIS QUESTIONS #
######################

# Set the given parameters to obtain the specified policies through
# value iteration.

def question2():
    answerDiscount = 0.9
    answerNoise = 0
    return answerDiscount, answerNoise

def question3a():
    answerDiscount = .1
    answerNoise = 0
    answerLivingReward = -1
    return answerDiscount, answerNoise, answerLivingReward
    # If not possible, return 'NOT POSSIBLE'

def question3b():
    answerDiscount = .3
    answerNoise = .2
    answerLivingReward = -1
    return answerDiscount, answerNoise, answerLivingReward
    # If not possible, return 'NOT POSSIBLE'

def question3c():
    answerDiscount = 1
    answerNoise = 0
    answerLivingReward = -1
    return answerDiscount, answerNoise, answerLivingReward
    # If not possible, return 'NOT POSSIBLE'

def question3d():
    answerDiscount = .9
    answerNoise = .4
    answerLivingReward = -1
    return answerDiscount, answerNoise, answerLivingReward
    # If not possible, return 'NOT POSSIBLE'

def question3e():
    answerDiscount = 0
    answerNoise = 0
    answerLivingReward = 0
    return answerDiscount, answerNoise, answerLivingReward
    # If not possible, return 'NOT POSSIBLE'

def question6():
    answerEpsilon = None
    answerLearningRate = None
    return 'NOT POSSIBLE'
    # If not possible, return 'NOT POSSIBLE'

if __name__ == '__main__':
    print 'Answers to analysis questions:'
    import analysis
    for q in [q for q in dir(analysis) if q.startswith('question')]:
        response = getattr(analysis, q)()
        print '  Question %s:\t%s' % (q, str(response))