Artificial Engine Development through Reinforcement Learning on Jul-Gonu Game

Yong-Woo Shin

Artificial Engine Development through Reinforcement Learning on Jul-Gonu Game

Yong-Woo Shin, Journal of Internet Computing and Services, Vol. 10, No. 1, pp. 93-100, Feb. 2009
Full Text:

HTML
Keywords: Reinforcement Learning, Artificial intelligence, Board Game, Q Learning

Abstract

Game program manufacture had been classed by 3D or on-line game etc. simply. But, atomized game programmer's kind now. So, Artificial Intelligence game programmer's role is important. This paper used reinforcement learning algorithm for Jul_Gonu board characters to learn, and so they can move intelligently. To compare a learned character to an random one, a board game was created, and then they fought against each other. As a result, learned character‘s ability was far more improved.

Statistics

Show / Hide Statistics

Statistics (Past 3 Years)
Multiple requests among the same browser session are counted as one view.
If you mouse over a chart, the values of data points will be shown.

Cite this article

[APA Style]

Shin, Y. (2009). Artificial Engine Development through Reinforcement Learning on Jul-Gonu Game. Journal of Internet Computing and Services, 10(1), 93-100.

[IEEE Style]

Y. Shin, "Artificial Engine Development through Reinforcement Learning on Jul-Gonu Game," Journal of Internet Computing and Services, vol. 10, no. 1, pp. 93-100, 2009.

[ACM Style]

Yong-Woo Shin. 2009. Artificial Engine Development through Reinforcement Learning on Jul-Gonu Game. Journal of Internet Computing and Services, 10, 1, (2009), 93-100.