Jussi Doherty CAP 4601 - Introduction to Artificial Intelligence - Fall 2020 Python version 3.0+

This repo contains a Pac-Man project adopted from UC Berkeley's introductory artificial intelligence class, CS188 Intro to AI.

First, I improved the Reflex Agent so that it plays the game respectably. A capable reflex agent considers both food locations and ghost locations.

To try out the reflex agent on the default mediumClassic layout with one ghost or two:

python pacman.py —frameTime 0 -p ReflexAgent -k 1
python pacman.py --frameTime 0 -p ReflexAgent -k 2

To run the reflex agent through the autograder with graphics:

python autograder.py -q q1

To run it without graphics:

python autograder.py -q q1 --no-graphics

A correct implementation of minimax will lead to Pacman losing the game in some tests. This is not a problem as it is correct behavior, and it will pass the tests.

To run the minimax agent on the smallClassic layout:

python pacman.py --frameTime 0 -p MinimaxAgent -k 1
python pacman.py --frameTime 0 -p MinimaxAgent -k 2

To run the minimax agent through the autograder with graphics:

python autograder.py -q q2

To run it without graphics:

python autograder.py -q q2 --no-graphics