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Number of items: 11.

Wierstra, D. and Schaul, T. and Glasmachers, T. and Sun, Y. and Peters, J. and Schmidhuber, J. (2014):
Natural Evolution Strategies.
15, In: Journal of Machine Learning Research, (March), pp. 949-980, [Online-Edition: http://jmlr.org/papers/volume15/wierstra14a/wierstra14a.pdf],
[Article]

Sehnke, F. and Osendorfer, C. and Rückstiess, T. and Graves, A. and Peters, J. and Schmidhuber, J. (2010):
Parameter-exploring Policy Gradients.
In: Neural Networks, (23(4)), pp. 551-559, [Article]

Wierstra, D. and Förster, A. and Peters, J. and Schmidhuber, J. (2010):
Recurrent Policy Gradients.
In: Logic Journal of the IGPL, (18(5)), pp. 620-634, [Article]

Wierstra, D. and Foerster, A. and Peters, J. and Schmidhuber, J. (2010):
Recurrent Policy Gradients.
18, In: Logic Journal of IGPL Advance Access, pp. 620-634, DOI: 10.1093/jigpal/jzp049,
[Online-Edition: http://robot-learning.de/uploads/Publications/jzp049v1_5879[...],
[Article]

Wierstra, D. and Schaul, T. and Peters, J. and Schmidhuber, J. (2008):
Natural Evolution Strategies.
In: 2008 IEEE Congress on Evolutionary Computation, Hong Kong, China, 1-6 June 2008, [Online-Edition: http://www-clmc.usc.edu/publications/W/wierstra-CEC2008.pdf],
[Conference or Workshop Item]

Wierstra, D. and Schaul, T. and Peters, J. and Schmidhuber, J. (2008):
Episodic Reinforcement Learning by Logistic Reward-Weighted Regression.
In: Proceedings of the International Conference on Artificial Neural Networks (ICANN), [Conference or Workshop Item]

Wierstra, D. and Schaul, T. and Peters, J. and Schmidhuber, J. (2008):
Episodic Reinforcement Learning by Logistic Reward-Weighted Regression.
In: Proceedings of the International Conference on Artificial Neural Networks (ICANN), Prague, Czech Republic, September 3-6, 2008, pp. 407-416, DOI: 10.1007/978-3-540-87536-9_42,
[Online-Edition: http://www-clmc.usc.edu/publications/W/wierstra_ICANN08.pdf],
[Conference or Workshop Item]

Wierstra, D. and Schaul, T. and Peters, J. and Schmidhuber, J. (2008):
Natural Evolution Strategies.
In: 2008 IEEE Congress on Evolutionary Computation, [Conference or Workshop Item]

Sehnke, F. and Osendorfer, C. and Rueckstiess, T. and Graves, A. and Peters, J. and Schmidhuber, J. (2008):
Policy Gradients with Parameter-based Exploration for Control.
In: Proceedings of the International Conference on Artificial Neural Networks (ICANN), Prague, Czech Republic, 3.-6. September 2008, pp. 387-396, DOI: 10.1007/978-3-540-87536-9_40,
[Online-Edition: http://www-clmc.usc.edu/publications/S/sehnke_ICANN2008.pdf],
[Conference or Workshop Item]

Wierstra, D. and Förster, A. and Peters, J. and Schmidhuber, J. (2007):
Solving Deep Memory POMDPs with Recurrent Policy Gradients.
In: Proceedings of the International Conference on Artificial Neural Networks (ICANN), [Conference or Workshop Item]

Wierstra, D. and Foerster, A. and Peters, J. and Schmidhuber, J. (2007):
Solving Deep Memory POMDPs with Recurrent Policy Gradients.
In: Proceedings of the International Conference on Artificial Neural Networks (ICANN), Porto, Portugal, September 9-13, 2007, [Online-Edition: http://www-clmc.usc.edu/publications//D/Wierstra_ICANN_2007....],
[Conference or Workshop Item]

This list was generated on Tue Dec 10 01:05:43 2019 CET.