junjiek,github

junjiek's Projects

allstate

Kaggle's Allstate Purchase Prediction Challenge

For those of you not familiar with Pac-Man, it's a game where Pac-Man (the yellow circle with a mouth in the above figure) moves around in a maze and tries to eat as many food pellets (the small white dots) as possible, while avoiding the ghosts (the other two agents with eyes in the above figure). If Pac-Man eats all the food in a maze, it wins. The big white dots at the top-left and bottom-right corner are capsules, which give Pac-Man power to eat ghosts in a limited time window (but you won't be worrying about them for the required part of the assignment). You can get familiar with the setting by playing a few games of classic Pac-Man, which we come to just after this introduction. In this project, you will design agents for the classic version of Pac-Man, including ghosts. Along the way, you will implement both minimax and expectimax search. The base code for this project contains a lot of files (which are listed towards the end of this page); you, however, do not need to go through these files to complete the assignment. These are there only to guide the more adventurous amongst you to the heart of Pac-Man. As in previous assignments, you will be modifying only submission.py. This assignment has no grader.py checking for functionality. A basic grader.py has been included in the .zip file, but it only checks for timing issues. Passing this doesn't mean you have a correct implementation.