Artiklar med krav på offentlig åtkomst - Daan WierstraLäs mer
Inte tillgänglig någonstans: 1
Building machines that learn and think for themselves
M Botvinick, DGT Barrett, P Battaglia, N de Freitas, D Kumaran, JZ Leibo, ...
Behavioral and Brain Sciences 40, 2017
Krav: US National Science Foundation, Swiss National Science Foundation, Gordon …
Tillgängliga någonstans: 15
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
Krav: Swiss National Science Foundation
PyBrain
T Schaul, J Bayer, D Wierstra, Y Sun, M Felder, F Sehnke, T Rückstieß, ...
Journal of Machine Learning Research 11, 743-746, 2010
Krav: Swiss National Science Foundation, German Research Foundation
A system for robotic heart surgery that learns to tie knots using recurrent neural networks
H Mayer, F Gomez, D Wierstra, I Nagy, A Knoll, J Schmidhuber
Advanced Robotics 22 (13-14), 1521-1537, 2008
Krav: Swiss National Science Foundation
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
Krav: Swiss National Science Foundation
Solving deep memory POMDPs with recurrent policy gradients
D Wierstra, A Foerster, J Peters, J Schmidhuber
Artificial Neural Networks–ICANN 2007: 17th International Conference, Porto …, 2007
Krav: Swiss National Science Foundation
Recurrent policy gradients
D Wierstra, A Förster, J Peters, J Schmidhuber
Logic Journal of IGPL 18 (5), 620-634, 2010
Krav: Swiss National Science Foundation
Efficient natural evolution strategies
Y Sun, D Wierstra, T Schaul, J Schmidhuber
Proceedings of the 11th Annual conference on Genetic and evolutionary …, 2009
Krav: Swiss National Science Foundation
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
Krav: Swiss National Science Foundation
Robust player imitation using multiobjective evolution
N Van Hoorn, J Togelius, D Wierstra, J Schmidhuber
2009 IEEE Congress on Evolutionary Computation, 652-659, 2009
Krav: Swiss National Science Foundation
Variational learning for recurrent spiking networks
D Rezende, D Wierstra, W Gerstner
Advances in neural information processing systems 24, 2011
Krav: Swiss National Science Foundation
Fitness expectation maximization
D Wierstra, T Schaul, J Peters, J Schmidhuber
Parallel Problem Solving from Nature–PPSN X: 10th International Conference …, 2008
Krav: Swiss National Science Foundation
Curiosity-driven optimization
T Schaul, Y Sun, D Wierstra, F Gomez, J Schmidhuber
2011 IEEE Congress of Evolutionary Computation (CEC), 1343-1349, 2011
Krav: Swiss National Science Foundation
Policy gradient critics
D Wierstra, J Schmidhuber
European Conference on Machine Learning, 466-477, 2007
Krav: Swiss National Science Foundation
Episodic reinforcement learning by logistic reward-weighted regression
D Wierstra, T Schaul, J Peters, J Schmidhuber
International Conference on Artificial Neural Networks, 407-416, 2008
Krav: Swiss National Science Foundation
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
Krav: Swiss National Science Foundation, German Research Foundation
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