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PPCA-AIPacMan-2024/reinforcement/analysis.py
2024-07-08 18:16:30 +08:00

78 lines
2.4 KiB
Python

# 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 question2a():
"""
Prefer the close exit (+1), risking the cliff (-10).
"""
answerDiscount = 0.5
answerNoise = 0.01
answerLivingReward = -1
return answerDiscount, answerNoise, answerLivingReward
# If not possible, return 'NOT POSSIBLE'
def question2b():
"""
Prefer the close exit (+1), but avoiding the cliff (-10).
"""
answerDiscount = 0.5
answerNoise = 0.1
answerLivingReward = -1
return answerDiscount, answerNoise, answerLivingReward
# If not possible, return 'NOT POSSIBLE'
def question2c():
"""
Prefer the distant exit (+10), risking the cliff (-10).
"""
answerDiscount = 0.8
answerNoise = 0.01
answerLivingReward = 0
return answerDiscount, answerNoise, answerLivingReward
# If not possible, return 'NOT POSSIBLE'
def question2d():
"""
Prefer the distant exit (+10), avoiding the cliff (-10).
"""
answerDiscount = 0.8
answerNoise = 0.2
answerLivingReward = -0.1
return answerDiscount, answerNoise, answerLivingReward
# If not possible, return 'NOT POSSIBLE'
def question2e():
"""
Avoid both exits and the cliff (so an episode should never terminate).
"""
answerDiscount = 0.8
answerNoise = 0.5
answerLivingReward = 100
return answerDiscount, answerNoise, answerLivingReward
# 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)))