References
- 곽수환, 강민철, "인공지능/다중 에이전트를 활용한 호텔 온라인 예약의 개념적 모형", 한국정보시스템학회, 단일호, pp.107-113, 2000
- 임정환, 김태현, 김현수, 이재기, 최형림. "인공지능/가상현실: 3차원 가상 물리 실험 시스템 개발", 한국정보시스템학회, 단일호, pp75-82, 1997.
- 서경민, 송해상. "효율적인 몬테 칼로 시뮬레이션을 위한 중요 샘플링 기법이 내장된 실험 틀 설계," 한국콘텐츠학회논문지, Vol. 13, No. 4, pp53-63, 2013. https://doi.org/10.5392/JKCA.2013.13.04.053
- Browne, C., Lucas, S., Tavener, S., Perez, D., Samothrakis, S., and Colton, S., "A Survey of Monte Carlo Tree Search Methods," IEEE Transactions on Computational Intelligence and AI in Games, Vol. 4, No. 1, pp. 1-49, 2012. https://doi.org/10.1109/TCIAIG.2012.2186810
- Buro, M., Long, J. R., Furtak, T. and Sturtevant, N., "Improving State Evaluation, Inference, and Search in Trick-Based Card Games," In Proceedings of the 21st International Joint Conference Artificial Intelligence (IJCAI), 2009.
- Chaslot, G., Bakkes, S., Szita, I. and Spronck, P., "Monte-Carlo Tree Search: A New Framework for Game AI," Proceedings of the Fourth Artificial Intelligence and Interactive Digital Entertainment Conference (AIIDE), 2008.
- Frydenberg, F., Andersen, K. R., Risi, S. and Togelius, J., "Investigating MCTS Modifications in General Video Game Playing.", 2015 IEEE Conference on Computational Intelligence and Games (CIG). 2015.
- Garivier, A, and Moulines, E., "On Upper-Confidence Bound Policies for Non-Stationary Bandit Problems," arXiv preprint arXiv:0805.3415, 2008.
- Genesereth, M., Love, N. and Pell, B., "General Game Playing: Overview of the AAAI Competition," AI Magazine, Vol. 26, No. 2, pp. 62-72, 2005.
- Genesereth, M. and Bjornsson, Y., "The International General Game Playing Competition," AI Magazine, Vol. 34, No. 2, pp. 107-111, 2013. https://doi.org/10.1609/aimag.v34i2.2475
- Jacobsen, E. J., Greve, R. and Togelius, J., "Monte Mario: Platforming with MCTS," Proceedings of the 2014 Annual Conference on Genetic and Evolutionary Computation (GECCO), pp. 293-300, 2014.
- Lara-Cabrera, R., Nogueira-Collazo, M., Cotta, C. and Fernandez-Leiva, A. J., "Game Artificial Intelligence: Challenges for the Scientific Community," In Proceedings 2st Congreso de la sociedad Espanola para las Ciencias del Videojuego Barcelona, Spain, 2015.
- Lee, B.-D., "Monte-Carlo Tree Search Applied to the Game of Tic-Tac-Toe," Journal of Korea Game Society, Vol. 14, No. 3, pp. 47-54, 2014. https://doi.org/10.7583/JKGS.2014.14.3.47
- Lee, C.-S., Wang, M.-H., Chaslot, G., Hock, J.-B., Rimmel, A., Teytaud, O., Tsai, S.-R., Hsu, S.-C. and Hong, T.-P., "The Computational Intelligence of MoGo Revealed in Taiwan's Computer Go Tournaments," IEEE Transactions on Computational Intelligence and AI in Games, Vol. 1, No. 1, pp. 73-89, 2009. https://doi.org/10.1109/TCIAIG.2009.2018703
- Lee, C.-S., Muller, M. and Teytaud, O., "Special Issue on Monte Carlo Techniques and Computer Go," IEEE Transactions on Computational Intelligence and AI in Games, Vol. 2, No. 4, pp. 225-228, 2010. https://doi.org/10.1109/TCIAIG.2010.2099154
- Perez-Liebana, D., Samothrakis, S., Togelius, J., Schaul, T., Lucas, S. M., Couetoux, A., Lee, J., Lim, C.-C. and Thompson, T., "The 2014 General Video Game Playing Competition," IEEE Transactions on Computational Intelligence and AI in Games, Vol. 8, No. 3, pp. 229-243, 2016 https://doi.org/10.1109/TCIAIG.2015.2402393
- Rimmel, A., Teytaud, O., Lee, C.-S., Yen, S.-J., Wang, M.-H. and Tsai, S.-R., "Current Frontiers in Computer Go," IEEE Transactions on Computational Intelligence and AI in Games, Vol. 2, No. 4, pp. 229-238, 2010. https://doi.org/10.1109/TCIAIG.2010.2098876
- Ross, B., "General Video Game Playing with Goal Orientation.", Diss. Master's Thesis, University of Strathclyde, 2014.
- Vermorel, J. and Mohri, M., "Multi-armed Bandit Algorithms and Empirical Evaluation," European Conference on Machine Learning, Vol. 3720, pp. 437-448, 2005.