Study on Stages Evaluation for 2D Action Game Generated by DC-GAN Based on Artificial Intelligence
Index Terms—Deep learning, generative adversarial network, 2D action game, automatic stage generation, image generation, A* search algorithm.
Kotaro Nagahiro is with Graduate school of Information Science and Technology, Osaka Institute of Technology, 1-79-1 Kitayama, Hirakata-shi Osaka, 573-0171 Japan. Sho Ooi is with Faculty of Information Science and Engineering, Ritsumeikan University, 1-1-1 Nojihigashi, Kusatsu-shi Shiga, 525-8577 Japan. Mutsuo Sano is with Faculty of Information Science and Technology, Osaka Institute of Technology, 1-79-1 Kitayama, Hirakata-shi Osaka, 573-0171 Japan.
Cite:Kotaro Nagahiro, Sho Ooi, Mutsuo Sano, "Study on Stages Evaluation for 2D Action Game Generated by DC-GAN Based on Artificial Intelligence," International Journal of Computer and Communication Engineering vol. 10, no. 2, pp. 28-36, 2021.
Copyright © 2021 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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