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analysis.py
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analysis.py
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# analysis.py
# -----------
# Licensing Information: You are free to use or extend these projects for
# educational purposes provided that (1) you do not distribute or publish
# solutions, (2) you retain this notice, and (3) you provide clear
# attribution to UC Berkeley, including a link to http://ai.berkeley.edu.
#
# Attribution Information: The Pacman AI projects were developed at UC Berkeley.
# The core projects and autograders were primarily created 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 (pabbeel@cs.berkeley.edu).
######################
# 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 = 0.5
answerNoise = 0
answerLivingReward = -2
return answerDiscount, answerNoise, answerLivingReward
# If not possible, return 'NOT POSSIBLE'
def question3b():
answerDiscount = 0.2
answerNoise = 0.2
answerLivingReward = 0
return answerDiscount, answerNoise, answerLivingReward
# If not possible, return 'NOT POSSIBLE'
def question3c():
answerDiscount = 0.9
answerNoise = 0
answerLivingReward = -0.2
return answerDiscount, answerNoise, answerLivingReward
# If not possible, return 'NOT POSSIBLE'
def question3d():
answerDiscount = 0.9
answerNoise = 0.2
answerLivingReward = 0
return answerDiscount, answerNoise, answerLivingReward
# If not possible, return 'NOT POSSIBLE'
def question3e():
answerDiscount = 0
answerNoise = 0.2
answerLivingReward = 0
return answerDiscount, answerNoise, answerLivingReward
# If not possible, return 'NOT POSSIBLE'
def question6():
answerEpsilon = None
answerLearningRate = None
return answerEpsilon, answerLearningRate
# 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))