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publications

(50)

• Fast Online Policy Gradient Learning with SMD Gain Vector Adaptation
  Nicol Schraudolph and Jin Yu and Douglas Aberdeen Advances in Neural Information Processing Systems 18 (2006)
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• Evolving Networks: Using the Genetic Algorithm with Connectionist Learning
  Richard K. Belew and John Mcinerney and Nicol N. Schraudolph Proceedings of the Workshop on Artificial Life (ALIFE '90) (1991)
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• Evolving Networks: Using the Genetic Algorithm with Connectionist Learning
  Richard K. Belew and John Mcinerney and Nicol N. Schraudolph (1990)
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• Temporal Difference Learning of Position Evaluation in the Game of Go
  Nicol N. Schraudolph and Peter Dayan and Terrence J. Sejnowski Advances in Neural Information Processing 6 817--824 (1994)
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• Unsupervised Learning in LSTM Recurrent Neural Networks
  Klapper M. Rybicka and N. N. Schraudolph and J. Schmidhuber Lecture Notes on Comp. Sci. 2130, Proc. Intl. Conf. on Artificial Neural Networks (ICANN-2001) 684--691 (2001)
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• Learning precise timing with LSTM recurrent networks
  F. A. Gers and N. Schraudolph and J. Schmidhuber Journal of Machine Learning Research 3 115--143 (2002)
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• Processing Images by Semi-Linear Predictability Minimization
  N. N. Schraudolph and M. Eldracher and Schmid\ J. Huber Network: Computation in Neural Systems 10 133--169 (1999)
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• On Centering Neural Network Weight Updates
  N. N. Schraudolph Tricks of the Trade (1998)
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• Unsupervised Discrimination of Clustered Data via Optimization of Binary Information Gain
  N. Schraudolph and T. J. Sejnowski Advances in Neural Information Processing Systems 499--506 (1993)
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• Temporal Difference Learning of Position Evaluation in the Game of Go
  N. N. Schraudolph and P. Dayan and T. J. Sejnowski Advances in Neural Information Processing Systems 817--824 (1994)
  to juergen by idsia and 3 other people on 2008-03-11 14:52:34
  | BibTeX