| Natural evolution strategies D Wierstra, T Schaul, T Glasmachers, Y Sun, J Peters, J Schmidhuber The Journal of Machine Learning Research 15 (1), 949-980, 2014 | 1103 | 2014 |
| PyBrain T Schaul, J Bayer, D Wierstra, Y Sun, M Felder, F Sehnke, T Rückstieß, ... Journal of Machine Learning Research 11, 743-746, 2010 | 464 | 2010 |
| Exponential natural evolution strategies T Glasmachers, T Schaul, S Yi, D Wierstra, J Schmidhuber Proceedings of the 12th annual conference on Genetic and evolutionary …, 2010 | 236 | 2010 |
| Planning to be surprised: Optimal bayesian exploration in dynamic environments Y Sun, F Gomez, J Schmidhuber Artificial General Intelligence: 4th International Conference, AGI 2011 …, 2011 | 192 | 2011 |
| Efficient natural evolution strategies Y Sun, D Wierstra, T Schaul, J Schmidhuber Proceedings of the 11th Annual conference on Genetic and evolutionary …, 2009 | 149 | 2009 |
| Exploring parameter space in reinforcement learning T Rückstiess, F Sehnke, T Schaul, D Wierstra, Y Sun, J Schmidhuber Paladyn 1, 14-24, 2010 | 120 | 2010 |
| Stochastic search using the natural gradient S Yi, D Wierstra, T Schaul, J Schmidhuber Proceedings of the 26th annual international conference on machine learning …, 2009 | 110 | 2009 |
| Improving the asymptotic performance of Markov chain Monte-Carlo by inserting vortices Y Sun, J Schmidhuber, F Gomez Advances in Neural Information Processing Systems 23, 2010 | 44 | 2010 |
| Generalized loopy 2U: a new algorithm for approximate inference in credal networks A Antonucci, Y Sun, CP De Campos, M Zaffalon International Journal of Approximate Reasoning 51 (5), 474-484, 2010 | 43 | 2010 |
| A linear time natural evolution strategy for non-separable functions Y Sun, T Schaul, F Gomez, J Schmidhuber Proceedings of the 15th annual conference companion on Genetic and …, 2013 | 36 | 2013 |
| Natural evolution strategies D Wierstra, T Schaul, T Glasmachers, Y Sun, J Schmidhuber arXiv preprint arXiv:1106.4487, 2011 | 32 | 2011 |
| Curiosity-driven optimization T Schaul, Y Sun, D Wierstra, F Gomez, J Schmidhuber 2011 IEEE Congress of Evolutionary Computation (CEC), 1343-1349, 2011 | 31 | 2011 |
| Incremental Basis Construction from Temporal Difference Error. Y Sun, FJ Gomez, MB Ring, J Schmidhuber ICML, 481-488, 2011 | 18 | 2011 |
| On the size of the online kernel sparsification dictionary Y Sun, F Gomez, J Schmidhuber arXiv preprint arXiv:1206.4623, 2012 | 16 | 2012 |
| Planning to be surprised: optimal Bayesian exploration in dynamic environments S Yi, F Gomez, J Schmidhuber Proc. Fourth Conference on Artificial General Intelligence (AGI), Google …, 2011 | 16 | 2011 |
| An EM based training algorithm for recurrent neural networks J Unkelbach, S Yi, J Schmidhuber Artificial Neural Networks–ICANN 2009: 19th International Conference …, 2009 | 12 | 2009 |
| Pybrain S Tom, B Justin, W Daan, Y Sun, F Martin, S Frank, R Thomas, S Jürgen Journal of Machine Learning Research 11, 743-746, 2010 | 7 | 2010 |
| Natural evolution strategies, 2011 D Wierstra, T Schaul, T Glasmachers, Y Sun, J Schmidhuber URL https://arxiv. org/abs/1106.4487, 2014 | 5 | 2014 |
| Frontier Search Y Sun, T Glasmachers, T Schaul, J Schmidhuber 3d Conference on Artificial General Intelligence (AGI-2010), 118-123, 2010 | 4* | 2010 |
| The GL2U Package SUN Yi | 1 | 2008 |
Juergen SchmidhuberKing Abdullah University of Science and Technology / The Swiss AI Lab, IDSIA / University of LuganoVerified email at kaust.edu.sa
