DocumentCode
3476677
Title
Using a training camp with Genetic Programming to evolve Ms Pac-Man agents
Author
Alhejali, Atif M. ; Lucas, Simon M.
Author_Institution
Game Intell. Group, Univ. of Essex, Colchester, UK
fYear
2011
fDate
Aug. 31 2011-Sept. 3 2011
Firstpage
118
Lastpage
125
Abstract
This paper investigates using a training camp in conjunction with Genetic Programming in the evolution of Ms Pac-Man playing agents. We measure the amount of effort, time and resources required to run the training camp successfully. The approach is compared with standard GP. The results indicate that better and more stable performance can be achieved using the training camp method at the expense of greater manual effort in the design of the training scenarios. However, in addition to the better results, the training camp also provides more detailed insight into the strengths and weaknesses of each controller.
Keywords
computer games; genetic algorithms; learning (artificial intelligence); software agents; Ms pac-man agents; Ms pac-man playing agents; genetic programming; standard GP; training camp; Artificial intelligence; Computational intelligence; Conferences; Face; Games; Genetic programming; Training; Decomposition learning; Evolving Controllers; Genetic Programming; Pac-Man; Training camp;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Games (CIG), 2011 IEEE Conference on
Conference_Location
Seoul
Print_ISBN
978-1-4577-0010-1
Electronic_ISBN
978-1-4577-0009-5
Type
conf
DOI
10.1109/CIG.2011.6031997
Filename
6031997
Link To Document