# -*- coding: utf-8 -*- # 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 = 0.9 answerNoise = 0.1 answerLivingReward = -3 return answerDiscount, answerNoise, answerLivingReward # If not possible, return 'NOT POSSIBLE' def question3b(): answerDiscount = 0.1 answerNoise = 0.1 answerLivingReward = -2 return answerDiscount, answerNoise, answerLivingReward # If not possible, return 'NOT POSSIBLE' def question3c(): answerDiscount = 0.9 answerNoise = 0 answerLivingReward = 0 return answerDiscount, answerNoise, answerLivingReward # If not possible, return 'NOT POSSIBLE' def question3d(): answerDiscount = 0.1 answerNoise = 0.1 answerLivingReward = 1 return answerDiscount, answerNoise, answerLivingReward # If not possible, return 'NOT POSSIBLE' def question3e(): answerDiscount = 0 answerNoise = 0 answerLivingReward = 1 return answerDiscount, answerNoise, answerLivingReward # If not possible, return 'NOT POSSIBLE' def question6(): answerEpsilon = None answerLearningRate = None # return answerEpsilon, answerLearningRate 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))