@inproceedings{14ce73aee0014ed98d1f4bfaf6831f25,
title = "A Monte-Carlo approach for ghost avoidance in the Ms. Pac-Man game",
abstract = "Ms. Pac-Man is a challenging, classic arcade game that provides an interesting platform for Artificial Intelligence (AI) research. This paper reports the first Monte-Carlo approach to develop a ghost avoidance module of an intelligent agent that plays the game. Our experimental results show that the look-ahead ability of Monte-Carlo simulation often prevents Ms. Pac-Man being trapped by ghosts and reduces the chance of losing Ms. Pac-Man's life significantly. Our intelligent agent has achieved a high score of around 21,000. It is sometimes capable of clearing the first three stages and playing at the level of a novice human player.",
keywords = "Competition, Computational intelligence, Game, Monte-Carlo simulation, Ms. Pac-Man",
author = "Tong, {Bruce K.B.} and Sung, {Chi Wan}",
year = "2010",
doi = "10.1109/ICEGIC.2010.5716879",
language = "English",
isbn = "9781424471805",
series = "2nd International IEEE Consumer Electronic Society Games Innovation Conference, ICE-GIC 2010",
booktitle = "2nd International IEEE Consumer Electronic Society Games Innovation Conference, ICE-GIC 2010",
note = "2nd International IEEE Consumer Electronic Society Games Innovation Conference, ICE-GIC 2010 ; Conference date: 21-12-2010 Through 23-12-2010",
}