Search results for "Daan Wierstra"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
1	Daan Wierstra, Tom Schaul, Tobias Glasmachers, Yi Sun, Jürgen Schmidhuber	Natural Evolution Strategies	CoRR	2011	DBLP BibTeX RDF
1	Tom Schaul, Yi Sun, Daan Wierstra, Faustino J. Gomez, Jürgen Schmidhuber	Curiosity-driven optimization.	IEEE Congress on Evolutionary Computation	2011	DBLP DOI BibTeX RDF
1	Danilo J. Rezende, Daan Wierstra, Wulfram Gerstner	Variational Learning for Recurrent Spiking Networks.	NIPS	2011	DBLP BibTeX RDF
1	Daan Wierstra, Alexander Förster, Jan Peters, Jürgen Schmidhuber	Recurrent policy gradients.	Logic Journal of the IGPL	2010	DBLP DOI BibTeX RDF
1	Tom Schaul, Justin Bayer, Daan Wierstra, Yi Sun, Martin Felder, Frank Sehnke, Thomas Rückstieß, Jürgen Schmidhuber	PyBrain.	Journal of Machine Learning Research	2010	DBLP DOI BibTeX RDF
1	Tobias Glasmachers, Tom Schaul, Yi Sun, Daan Wierstra, Jürgen Schmidhuber	Exponential natural evolution strategies.	GECCO	2010	DBLP DOI BibTeX RDF	evolution strategies, black box optimization, unconstrained optimization, natural gradient
1	Daniel Pieter Wierstra	A study in direct policy search.		2010	RDF
1	Yi Sun, Daan Wierstra, Tom Schaul, Jürgen Schmidhuber	Efficient natural evolution strategies.	GECCO	2009	DBLP DOI BibTeX RDF	optimization, evolution strategies, natural gradient
1	Niels van Hoorn, Julian Togelius, Daan Wierstra, Jürgen Schmidhuber	Robust player imitation using multiobjective evolution.	IEEE Congress on Evolutionary Computation	2009	DBLP DOI BibTeX RDF
1	Justin Bayer, Daan Wierstra, Julian Togelius, Jürgen Schmidhuber	Evolving Memory Cell Structures for Sequence Learning.	ICANN	2009	DBLP DOI BibTeX RDF
1	Yi Sun, Daan Wierstra, Tom Schaul, Jürgen Schmidhuber	Stochastic search using the natural gradient.	ICML	2009	DBLP DOI BibTeX RDF
1	Hermann Georg Mayer, Faustino J. Gomez, Daan Wierstra, Istvan Nagy, Alois Knoll, Jürgen Schmidhuber	A System for Robotic Heart Surgery that Learns to Tie Knots Using Recurrent Neural Networks.	Advanced Robotics	2008	DBLP DOI BibTeX RDF
1	Daan Wierstra, Tom Schaul, Jan Peters, Jürgen Schmidhuber	Fitness Expectation Maximization.	PPSN	2008	DBLP DOI BibTeX RDF
1	Daan Wierstra, Tom Schaul, Jan Peters, Jürgen Schmidhuber	Natural Evolution Strategies.	IEEE Congress on Evolutionary Computation	2008	DBLP DOI BibTeX RDF
1	Daan Wierstra, Tom Schaul, Jan Peters, Jürgen Schmidhuber	Episodic Reinforcement Learning by Logistic Reward-Weighted Regression.	ICANN	2008	DBLP DOI BibTeX RDF
1	Jürgen Schmidhuber, Daan Wierstra, Matteo Gagliolo, Faustino J. Gomez	Training Recurrent Networks by Evolino.	Neural Computation	2007	DBLP DOI BibTeX RDF
1	Daan Wierstra, Alexander Förster, Jan Peters, Jürgen Schmidhuber	Solving Deep Memory POMDPs with Recurrent Policy Gradients.	ICANN	2007	DBLP DOI BibTeX RDF
1	Daan Wierstra, Jürgen Schmidhuber	Policy Gradient Critics.	ECML	2007	DBLP DOI BibTeX RDF
1	Hermann Georg Mayer, Faustino J. Gomez, Daan Wierstra, Istvan Nagy, Alois Knoll, Jürgen Schmidhuber	A System for Robotic Heart Surgery that Learns to Tie Knots Using Recurrent Neural Networks.	IROS	2006	DBLP DOI BibTeX RDF
1	Jürgen Schmidhuber, Matteo Gagliolo, Daan Wierstra, Faustino J. Gomez	Evolino for recurrent support vector machines.	ESANN	2006	DBLP BibTeX RDF
1	Jürgen Schmidhuber, Matteo Gagliolo, Daan Wierstra, Faustino J. Gomez	Evolino for recurrent support vector machines	CoRR	2005	DBLP BibTeX RDF
1	Daan Wierstra, Faustino J. Gomez, Jürgen Schmidhuber	Modeling systems with internal state using evolino.	GECCO	2005	DBLP DOI BibTeX RDF	evolution and learning, recurrent neural networks, time-series prediction
1	Jürgen Schmidhuber, Daan Wierstra, Faustino J. Gomez	Evolino: Hybrid Neuroevolution/Optimal Linear Search for Sequence Learning.	IJCAI	2005	DBLP BibTeX RDF
1	Daan Wierstra, Marco Wiering	Utile distinction hidden Markov models.	ICML	2004	DBLP DOI BibTeX RDF

Publications of Daan Wierstra Daniel Pieter Wierstra ( http://dblp.L3S.de/Authors/Daan_Wierstra )