| PyBrain T Schaul, J Bayer, D Wierstra, Y Sun, M Felder, F Sehnke, T Rückstieß, ... Journal of Machine Learning Research 11 (ARTICLE), 743-746, 2010 | 423 | 2010 |
| 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 | 272 | 2014 |
| 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 | 152 | 2010 |
| Planning to be surprised: Optimal bayesian exploration in dynamic environments Y Sun, F Gomez, J Schmidhuber International Conference on Artificial General Intelligence, 41-51, 2011 | 108 | 2011 |
| Efficient natural evolution strategies Y Sun, D Wierstra, T Schaul, J Schmidhuber Proceedings of the 11th Annual conference on Genetic and evolutionary …, 2009 | 106 | 2009 |
| Exploring parameter space in reinforcement learning T Rückstiess, F Sehnke, T Schaul, D Wierstra, Y Sun, J Schmidhuber Paladyn, Journal of Behavioral Robotics 1 (1), 14-24, 2010 | 89 | 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 | 81 | 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, 2235-2243, 2010 | 36 | 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 | 32 | 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 | 28 | 2013 |
| Incremental Basis Construction from Temporal Difference Error. Y Sun, FJ Gomez, MB Ring, J Schmidhuber ICML, 481-488, 2011 | 18 | 2011 |
| Curiosity-driven optimization T Schaul, Y Sun, D Wierstra, F Gomez, J Schmidhuber 2011 IEEE Congress of Evolutionary Computation (CEC), 1343-1349, 2011 | 17 | 2011 |
| On the size of the online kernel sparsification dictionary Y Sun, F Gomez, J Schmidhuber arXiv preprint arXiv:1206.4623, 2012 | 14 | 2012 |
| An EM based training algorithm for recurrent neural networks J Unkelbach, S Yi, J Schmidhuber International Conference on Artificial Neural Networks, 964-974, 2009 | 11 | 2009 |
| 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 | 7 | 2011 |
| Advances in Neural Information Processing Systems 23 Y Sun, J Schmidhuber, F Gomez Curran Associates, Inc., 2010 | 7 | 2010 |
| Frontier Search Y Sun, T Glasmachers, T Schaul, J Schmidhuber 3d Conference on Artificial General Intelligence (AGI-2010), 2010 | 6* | 2010 |
| 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 | 4 | 2010 |
| On the generation of representations for reinforcement learning Y Sun Università della Svizzera italiana, 2012 | | 2012 |
| 1IDSIA, University of Lugano, Galleria 2, Manno-Lugano, 6900, Switzerland 2Technische Universität München, Garching D-86748, Germany T Schaul, J Bayer, D Wierstra, Y Sun, M Felder, F Sehnke, T Rückstieß, ... Journal of Machine Learning Research 1, 999-1000, 2010 | | 2010 |
Juergen SchmidhuberThe Swiss AI Lab IDSIA / USI & SUPSIVerified email at idsia.ch
