Learning what to ignore: Memetic climbing in topology and weight space
暂无分享,去创建一个
[1] X. Yao. Evolving Artificial Neural Networks , 1999 .
[2] Julian Togelius,et al. Point-to-Point Car Racing: an Initial Study of Evolution Versus Temporal Difference Learning , 2007, 2007 IEEE Symposium on Computational Intelligence and Games.
[3] Stefano Nolfi,et al. Evolving robots able to self-localize in the environment: the importance of viewing cognition as the result of processes occurring at different time-scales , 2002 .
[4] Jürgen Schmidhuber,et al. Optimal Ordered Problem Solver , 2002, Machine Learning.
[5] Kenneth O. Stanley,et al. A novel generative encoding for exploiting neural network sensor and output geometry , 2007, GECCO '07.
[6] Julian Togelius,et al. Evolution of Neural Networks for Helicopter Control: Why Modularity Matters , 2006, 2006 IEEE International Conference on Evolutionary Computation.
[7] Risto Miikkulainen,et al. Efficient Non-linear Control Through Neuroevolution , 2006, ECML.
[8] Pablo Moscato,et al. On Evolution, Search, Optimization, Genetic Algorithms and Martial Arts : Towards Memetic Algorithms , 1989 .
[9] Risto Miikkulainen,et al. Efficient evolution of neural networks through complexification , 2004 .
[10] Peter J. Angeline,et al. An evolutionary algorithm that constructs recurrent neural networks , 1994, IEEE Trans. Neural Networks.
[11] G. Wagner,et al. What does it take to evolve behaviorally complex organisms? , 2003, Bio Systems.