2019-04-11 03:58:15 +00:00
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# analysis.py
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# -----------
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# Licensing Information: You are free to use or extend these projects for
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# educational purposes provided that (1) you do not distribute or publish
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# solutions, (2) you retain this notice, and (3) you provide clear
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# attribution to UC Berkeley, including a link to http://ai.berkeley.edu.
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#
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# Attribution Information: The Pacman AI projects were developed at UC Berkeley.
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# The core projects and autograders were primarily created by John DeNero
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# (denero@cs.berkeley.edu) and Dan Klein (klein@cs.berkeley.edu).
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# Student side autograding was added by Brad Miller, Nick Hay, and
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# Pieter Abbeel (pabbeel@cs.berkeley.edu).
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######################
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# ANALYSIS QUESTIONS #
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######################
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# Set the given parameters to obtain the specified policies through
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# value iteration.
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def question2():
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answerDiscount = 0.9
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2019-04-11 04:22:35 +00:00
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answerNoise = 0
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2019-04-11 03:58:15 +00:00
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return answerDiscount, answerNoise
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def question3a():
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answerDiscount = None
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answerNoise = None
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answerLivingReward = None
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return answerDiscount, answerNoise, answerLivingReward
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# If not possible, return 'NOT POSSIBLE'
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def question3b():
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answerDiscount = None
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answerNoise = None
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answerLivingReward = None
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return answerDiscount, answerNoise, answerLivingReward
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# If not possible, return 'NOT POSSIBLE'
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def question3c():
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answerDiscount = None
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answerNoise = None
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answerLivingReward = None
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return answerDiscount, answerNoise, answerLivingReward
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# If not possible, return 'NOT POSSIBLE'
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def question3d():
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answerDiscount = None
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answerNoise = None
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answerLivingReward = None
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return answerDiscount, answerNoise, answerLivingReward
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# If not possible, return 'NOT POSSIBLE'
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def question3e():
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answerDiscount = None
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answerNoise = None
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answerLivingReward = None
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return answerDiscount, answerNoise, answerLivingReward
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# If not possible, return 'NOT POSSIBLE'
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def question6():
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answerEpsilon = None
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answerLearningRate = None
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return answerEpsilon, answerLearningRate
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# If not possible, return 'NOT POSSIBLE'
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if __name__ == '__main__':
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print 'Answers to analysis questions:'
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import analysis
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for q in [q for q in dir(analysis) if q.startswith('question')]:
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response = getattr(analysis, q)()
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print ' Question %s:\t%s' % (q, str(response))
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