• Journal of Internet Computing and Services
    ISSN 2287 - 1136(Online) / ISSN 1598 - 0170 (Print)
    http://jics.or.kr/

Improvement of Sequential Prediction Algorithm for Player's Action Prediction


Yong-Woo Shin, Tae-Choong Chung, Journal of Internet Computing and Services, Vol. 11, No. 3, pp. 25-32, Jun. 2010
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Keywords: Reinforcement Learning, Game, Learning Speed, action prediction

Abstract

It takes quite amount of time to study a game because there are many game characters and different stages are exist for games. This paper used reinforcement learning algorithm for characters to learn, and so they can move intelligently. On learning early, the learning speed becomes slow. Improved sequential prediction method was used to improve the speed of learning. To compare a normal learning to an improved one, a game was created. As a result, improved character‘s ability was improved 30% on learning speed.


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Cite this article
[APA Style]
Yong-Woo Shin and Tae-Choong Chung (2010). Improvement of Sequential Prediction Algorithm for Player's Action Prediction. Journal of Internet Computing and Services, 11(3), 25-32.

[IEEE Style]
Y. Shin and T. Chung, "Improvement of Sequential Prediction Algorithm for Player's Action Prediction," Journal of Internet Computing and Services, vol. 11, no. 3, pp. 25-32, 2010.

[ACM Style]
Yong-Woo Shin and Tae-Choong Chung. 2010. Improvement of Sequential Prediction Algorithm for Player's Action Prediction. Journal of Internet Computing and Services, 11, 3, (2010), 25-32.