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Daan Wierstra
Daniel Pieter Wierstra
Author information
- affiliation: University of Lugano, Dalle Molle Institute for Artificial Intelligence
2010 – today
- 2012
[i3]Yi Sun, Daan Wierstra, Tom Schaul, Jürgen Schmidhuber: Efficient Natural Evolution Strategies. CoRR abs/1209.5853 (2012)- 2011
- [c17]Tom Schaul, Yi Sun, Daan Wierstra, Faustino J. Gomez, Jürgen Schmidhuber: Curiosity-driven optimization. IEEE Congress on Evolutionary Computation 2011: 1343-1349
- [c16]Danilo J. Rezende, Daan Wierstra, Wulfram Gerstner: Variational Learning for Recurrent Spiking Networks. NIPS 2011: 136-144
- [i2]Daan Wierstra, Tom Schaul, Tobias Glasmachers, Yi Sun, Jürgen Schmidhuber: Natural Evolution Strategies. CoRR abs/1106.4487 (2011)
- 2010
- [b1]
- [j4]Daan Wierstra, Alexander Förster, Jan Peters, Jürgen Schmidhuber: Recurrent policy gradients. Logic Journal of the IGPL 18(5): 620-634 (2010)
- [j3]Tom Schaul, Justin Bayer, Daan Wierstra, Yi Sun, Martin Felder, Frank Sehnke, Thomas Rückstieß, Jürgen Schmidhuber: PyBrain. Journal of Machine Learning Research 11: 743-746 (2010)
- [c15]Tobias Glasmachers, Tom Schaul, Yi Sun, Daan Wierstra, Jürgen Schmidhuber: Exponential natural evolution strategies. GECCO 2010: 393-400
2000 – 2009
- 2009
- [c14]Niels van Hoorn, Julian Togelius, Daan Wierstra, Jürgen Schmidhuber: Robust player imitation using multiobjective evolution. IEEE Congress on Evolutionary Computation 2009: 652-659
- [c13]Yi Sun, Daan Wierstra, Tom Schaul, Jürgen Schmidhuber: Efficient natural evolution strategies. GECCO 2009: 539-546
- [c12]Justin Bayer, Daan Wierstra, Julian Togelius, Jürgen Schmidhuber: Evolving Memory Cell Structures for Sequence Learning. ICANN (2) 2009: 755-764
- [c11]Yi Sun, Daan Wierstra, Tom Schaul, Jürgen Schmidhuber: Stochastic search using the natural gradient. ICML 2009: 146
- 2008
- [j2]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 22(13-14): 1521-1537 (2008)
- [c10]Daan Wierstra, Tom Schaul, Jan Peters, Jürgen Schmidhuber: Natural Evolution Strategies. IEEE Congress on Evolutionary Computation 2008: 3381-3387
- [c9]Daan Wierstra, Tom Schaul, Jan Peters, Jürgen Schmidhuber: Episodic Reinforcement Learning by Logistic Reward-Weighted Regression. ICANN (1) 2008: 407-416
- [c8]Daan Wierstra, Tom Schaul, Jan Peters, Jürgen Schmidhuber: Fitness Expectation Maximization. PPSN 2008: 337-346
- 2007
- [j1]Jürgen Schmidhuber, Daan Wierstra, Matteo Gagliolo, Faustino J. Gomez: Training Recurrent Networks by Evolino. Neural Computation 19(3): 757-779 (2007)
- [c7]
- [c6]Daan Wierstra, Alexander Förster, Jan Peters, Jürgen Schmidhuber: Solving Deep Memory POMDPs with Recurrent Policy Gradients. ICANN (1) 2007: 697-706
- 2006
- [c5]Jürgen Schmidhuber, Matteo Gagliolo, Daan Wierstra, Faustino J. Gomez: Evolino for recurrent support vector machines. ESANN 2006: 593-598
- [c4]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: 543-548
- 2005
- [c3]Daan Wierstra, Faustino J. Gomez, Jürgen Schmidhuber: Modeling systems with internal state using evolino. GECCO 2005: 1795-1802
- [c2]Jürgen Schmidhuber, Daan Wierstra, Faustino J. Gomez: Evolino: Hybrid Neuroevolution/Optimal Linear Search for Sequence Learning. IJCAI 2005: 853-858
- [i1]Jürgen Schmidhuber, Matteo Gagliolo, Daan Wierstra, Faustino J. Gomez: Evolino for recurrent support vector machines. CoRR abs/cs/0512062 (2005)
- 2004
- [c1]
Coauthor Index
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last updated on 2012-12-02 21:12 CET by the dblp team