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AAAI (AAAI Conference on Artificial Intelligence)

  • Qiu, X. and Miikkulainen, R., 2019, July. Enhancing evolutionary conversion rate optimization via multi-armed bandit algorithms. In Proceedings of AAAI Conference on Artificial Intelligence (pp. 9581-9588). [ www | pdf ]
  • Bryant, B.D. and Miikkulainen, R., 2007, July. Acquiring visibly intelligent behavior with example-guided neuroevolution. In Proceedings of AAAI Conference on Artificial Intelligence (pp. 801-808). [ www | pdf ] ( NE )
  • Stanley, K.O., Bryant, B.D., Karpov, I. and Miikkulainen, R., 2006, January. Real-time evolution of neural networks in the NERO video game. In Proceedings of AAAI Conference on Artificial Intelligence (pp. 1671-1674). [ www | pdf ] ( NE )
  • Stanley, K.O., Karpov, I., Miikkulainen, R. and Gold, A., 2006, July. Real-time interactive learning in the NERO video game. In Proceedings of AAAI Conference on Artificial Intelligence (pp. 1953-1954). [ www | pdf ] ( NE )
  • Rana, S., Heckendorn, R.B. and Whitley, D., 1998, January. A tractable Walsh analysis of SAT and its implications for genetic algorithms. In AAAI/IAAI (pp. 392-397).
  • Moriarty, D.E. and Miikkulainen, R., 1994, January. Evolving neural networks to focus minimax search. In Proceedings of AAAI Conference on Artificial Intelligence (pp. 1371-1377). [ www | pdf ] ( NE )
  • Nakakuki, Y. and Sadeh, N., 1994, September. Increasing the efficiency of simulated annealing search by learning to recognize (un) promising runs. In Proceedings of AAAI Conference on Artificial Intelligence (pp. 1316-1322).

2021

Nomura, M., Watanabe, S., Akimoto, Y., Ozaki, Y. and Onishi, M., 2021, May. Warm starting CMA-ES for hyperparameter optimization. In Proceedings of AAAI Conference on Artificial Intelligence (Vol. 35, No. 10, pp. 9188-9196). [ www | pdf | Python ]

Xu, X., Meng, Q., Qin, Y., Guo, J., Zhao, C., Zhou, F. and Lei, Z., 2021, May. Searching for alignment in face recognition. In Proceedings of AAAI Conference on Artificial Intelligence (Vol. 35, No. 4, pp. 3065-3073). [ www | pdf ]

2019

Real, E., Aggarwal, A., Huang, Y. and Le, Q.V., 2019, July. Regularized evolution for image classifier architecture search. In Proceedings of AAAI Conference on Artificial Intelligence (Vol. 33, No. 01, pp. 4780-4789). [ www | pdf ]

Liu, G., Zhao, L., Yang, F., Bian, J., Qin, T., Yu, N. and Liu, T.Y., 2019, July. Trust region evolution strategies. In Proceedings of AAAI Conference on Artificial Intelligence (Vol. 33, No. 01, pp. 4352-4359). [ www | pdf ] ( ES | ER )

Feng, C., Qian, C. and Tang, K., 2019, July. Unsupervised feature selection by Pareto optimization. In Proceedings of AAAI Conference on Artificial Intelligence (Vol. 33, No. 01, pp. 3534-3541). [ www | pdf ]

2015

MacAlpine, P., Depinet, M. and Stone, P., 2015, February. UT Austin Villa 2014: RoboCup 3D simulation league champion via overlapping layered learning. In Proceedings of AAAI Conference on Artificial Intelligence (Vol. 29, No. 1). [ www | pdf ]

2014

Cire, A., Kadioglu, S. and Sellmann, M., 2014, June. Parallel restarted search. In Proceedings of AAAI Conference on Artificial Intelligence (pp. 842-848). [ www ]

2008

Gauci, J. and Stanley, K.O., 2008, July. A case study on the critical role of geometric regularity in machine learning. In Proceedings of AAAI Conference on Artificial Intelligence (pp. 628-633). [ www | pdf ]

2007

Bryant, B.D. and Miikkulainen, R., 2007, July. Acquiring visibly intelligent behavior with example-guided neuroevolution. In Proceedings of AAAI Conference on Artificial Intelligence (pp. 801-808). [ pdf ]

1992

Koza, J.R. and Rice, J.P., 1992, July. Automatic programming of robots using genetic programming. In Proceedings of AAAI Conference on Artificial Intelligence (pp. 194-201). [ www ]

1990

Kitano, H., 1990, July. Empirical studies on the speed of convergence of neural network training using genetic algorithms. In Proceedings of AAAI Conference on Artificial Intelligence (pp. 789-795). [ pdf ]