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30 May 2020
 
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Results 1 to 19 of 19 for query "Marc Toussaint". (0.02 sec.)


1.
Learning a world model and planning with a self-organizing, dynamic neural system
Marc Toussaint;
11 Jun 2003
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2.
Notes on information geometry and evolutionary processes
Marc Toussaint;
20 Aug 2004
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3.
Recent Results on No-Free-Lunch Theorems for Optimization
Christian Igel; Marc Toussaint;
31 Mar 2003
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4.
The structure of evolutionary exploration: On crossover, buildings blocks and Estimation-Of-Distribution Algorithms
Marc Toussaint;
11 Dec 2002
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5.
Neutrality: A Necessity for Self-Adaptation
Marc Toussaint; Christian Igel;
16 Apr 2002   /  Proceedings of the Congress on Evolutionary Computation (CEC 2002), 1354-1359.
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6.
A neural model for multi-expert architectures
Marc Toussaint;
19 Feb 2002   /  Proceedings of the International Joint Conference on Neural Networks (IJCNN 2002), 2755-2760.
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7.
On model selection and the disability of neural networks to decompose tasks
Marc Toussaint;
19 Feb 2002   /  Proceedings of the International Joint Conference on Neural Networks (IJCNN 2002), 245-250.
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8.
Self-adaptive exploration in evolutionary search
Marc Toussaint;
5 Feb 2001
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9.
Self-adaptive exploration in evolutionary search
Marc Toussaint;
5 Feb 2001
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10.
On Classes of Functions for which No Free Lunch Results Hold
Christian Igel; Marc Toussaint;
21 Aug 2001
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11.
Lectures on Reduce and Maple at UAM I - Mexico
Marc Toussaint;
25 May 2001
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12.
A gauge theoretical view of the charge concept in Einstein gravity
Marc Toussaint;
6 Jul 1999   /  Gen.Rel.Grav. 32 (2000) 885-896
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13.
Hierarchical POMDP Controller Optimization by Likelihood Maximization
Marc Toussaint; Laurent Charlin; Pascal Poupart;
13 Jun 2012
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14.
Advancing Bayesian Optimization: The Mixed-Global-Local (MGL) Kernel and Length-Scale Cool Down
Kim Peter Wabersich; Marc Toussaint;
9 Dec 2016
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15.
On the Fundamental Importance of Gauss-Newton in Motion Optimization
Nathan Ratliff; Marc Toussaint; Jeannette Bohg; Stefan Schaal;
30 May 2016
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16.
A Novel Augmented Lagrangian Approach for Inequalities and Convergent Any-Time Non-Central Updates
Marc Toussaint;
14 Dec 2014
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17.
Active Learning of Hyperparameters: An Expected Cross Entropy Criterion for Active Model Selection
Johannes Kulick; Robert Lieck; Marc Toussaint;
26 Sep 2014
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18.
Path Integral Control by Reproducing Kernel Hilbert Space Embedding
Konrad Rawlik; Marc Toussaint; Sethu Vijayakumar;
13 Aug 2012
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19.
Approximate Inference and Stochastic Optimal Control
Konrad Rawlik; Marc Toussaint; Sethu Vijayakumar;
20 Sep 2010
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