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 :
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