Game AI Competition Portal

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고급인공지능 과목 웹페이지

논문선정 방향: Competition에 직접적으로 도움이 될 수 있는 것들로 !!!!

대학원생 2편, 학부생 1편 (5명X2편+1명X1편 = 11편)

논문발표는 40분 발표 + 20분 Discussion 형태로 진행함.

한일발표는 40분 발표 + 20분 Discussion 형태로 진행함.

Car Racing

• J. Quadflieg, M. Preuss, O. Kramer, and G. Rudolph, “Learning the track and planning ahead in a car racing controller,” IEEE International Conference on Computational Intelligence and Games, pp. 395-402, 2010. PDF

• L. Cardamone, D. Loiacono, P. L. Lanzi, and A. P. Bardelli, “Searching for the optimal racing line using genetic algorithms,” IEEE International Conference on Computational Intelligence and Games, pp. 388-394, 2010. PDF

• M. Kemmerling, and M. Preuss, “Automatic adaptation to generated content via car setup optimization in TORCS,” IEEE International Conference on Computational Intelligence and Games, pp. 131-138, 2010.PDF

• D. Loiacono et al. “The 2009 simulated car racing championship,” IEEE Transactions on Computational Intelligence and AI in Games, vol. 2, no. 2, pp. 131-147, 2010. PDF

• M. V. Butz and T. D. Lonneker, “Optimized sensory-motor couplings plus strategy extensions for the TORCS car racing challenge,” IEEE Symposium on Computational Intelligence and Games, pp. 317-324, 2009. PDF

• E. Onieva, D. A. Pelta, J. Alonso, V. Milanes, and J. Perez, “A modular parametric architecture for the TORCS racing engine,” IEEE Symposium on Computational Intelligence and Games, pp. 256-262, 2009.PDF

• D. Perez, G. Recio, Y. Saez, and P. Isasi, “Evolving a fuzzy controller for a car racing competition,” IEEE Symposium on Computational Intelligence and Games, pp. 263-270, 2009. PDF

• L. Cardamone, D. Loiacono, and P. L. Lanzi, “Evolving competitive car controllers for racing games with neuroevolution,” Proceedings of the Annual Conference on Genetic and Evolutionary Computation, pp. 1179-1186, 2009. PDF

Ms Pac-Man

• N. Bell, X. Fang, R. Hughes, G. Kendall, and E. O’Reilly, and S. Qiu, “Ghost detection and other innovations for Ms. Pac-Man,” IEEE International Conference on Computational Intelligence and Games, pp. 465-472, 2010. PDF

• M. Emilio, M. Moises, R. Gustavo, and S. Yago, “Pac-mAnt: Optimization based on ant colonies applied to developing an agent for Ms. Pac-Man,” IEEE International Conference on Computational Intelligence and Games, pp. 458-464, 2010. PDF

• R. Thawonmas, and T. Ashida, “Evolution strategy for optimizing parameters in Ms Pac-Man controller ICE Pambush 3,” IEEE International Conference on Computational Intelligence and Games, pp. 235-240, 2010. PDF

Super Mario

• J. Togelius, S. Karakovskiy, and R. Baumgarten, “The 2009 Mario AI competition,” IEEE Congress on Evolutionary Computation, 2010. PDF

• S. Bojarski, and C. B. Congdon, “REALM: A rule-based evolutionary computation agent that learns to play Mario,” IEEE International Conference on Computational Intelligence and Games, pp. 83-90, 2010. PDF

• P. Mawhorter, and M. Mateas, “Procedural level generation using occupancy-regulated extension,” IEEE International Conference on Computational Intelligence and Games, pp. 351-358, 2010. PDF

Unreal Tournament

• P. Hingston, “A Turing Test for computer game bots,” IEEE Transactions on Computational Intelligence and AI in Games, vol. 1, no. 3, pp. 169-186, 2009. PDF

• D. Wang, B. Subagdja, A.-H. Tan and G.-W. Ng, “Creating human-like autonomous players in real-time first person shooter computer games,” Proceedings of the Twenty-First Annual Conference on Innovative Applications of Artificial Intelligence, 2009. PDF

• D. Hirono, and R. Thawonmas, “Implementation of a human-like bot in a first person shooter: Second place bot at BotPrize 2008,” CD-ROM Proc. Of ASIA Simulation Conference, 2009. PDF