Kernel representations for evolving continuous functions

[1]  Tom Schaul,et al.  High dimensions and heavy tails for natural evolution strategies , 2011, GECCO '11.

[2]  Tom Schaul,et al.  A Natural Evolution Strategy for Multi-objective Optimization , 2010, PPSN.

[3]  Kenneth O. Stanley,et al.  Evolving a Single Scalable Controller for an Octopus Arm with a Variable Number of Segments , 2010, PPSN.

[4]  Jürgen Schmidhuber,et al.  Evolving neural networks in compressed weight space , 2010, GECCO '10.

[5]  Tom Schaul,et al.  Exponential natural evolution strategies , 2010, GECCO '10.

[6]  Sethu Vijayakumar,et al.  Adaptive Optimal Feedback Control with Learned Internal Dynamics Models , 2010, From Motor Learning to Interaction Learning in Robots.

[7]  Tom Schaul,et al.  Efficient natural evolution strategies , 2009, GECCO.

[8]  Tom Schaul,et al.  Stochastic search using the natural gradient , 2009, ICML '09.

[9]  Dario Floreano,et al.  Evolution of Altruistic Robots , 2008, WCCI.

[10]  Tom Schaul,et al.  Natural Evolution Strategies , 2008, 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence).

[11]  Ioannis Iossifidis,et al.  Dynamical Systems Approach for the Autonomous Avoidance of Obstacles and Joint-limits for an Redundant Robot Arm , 2006, 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[12]  Risto Miikkulainen,et al.  Efficient Non-linear Control Through Neuroevolution , 2006, ECML.

[13]  G. Swaminathan Robot Motion Planning , 2006 .

[14]  María Cristina Riff,et al.  An On-the-fly Evolutionary Algorithm for Robot Motion Planning , 2005, ICES.

[15]  Tamar Flash,et al.  Dynamic model of the octopus arm. I. Biomechanics of the octopus reaching movement. , 2005, Journal of neurophysiology.

[16]  Julian Francis Miller,et al.  Evolution of Robot Controller Using Cartesian Genetic Programming , 2005, EuroGP.

[17]  Hans-Paul Schwefel,et al.  Evolution strategies – A comprehensive introduction , 2002, Natural Computing.

[18]  Corinna Cortes,et al.  Support-Vector Networks , 1995, Machine Learning.

[19]  A. E. Eiben,et al.  Introduction to Evolutionary Computing , 2003, Natural Computing Series.

[20]  Stefano Nolfi,et al.  Evolving robots able to integrate sensory-motor information over time , 2001, Theory in Biosciences.

[21]  Bernhard Schölkopf,et al.  Nonlinear Component Analysis as a Kernel Eigenvalue Problem , 1998, Neural Computation.

[22]  Vladimir Vapnik,et al.  Statistical learning theory , 1998 .

[23]  Vladimir Vapnik,et al.  The Support Vector Method , 1997, ICANN.

[24]  Erdinc Sahin Conkur,et al.  Manoeuvring highly redundant manipulators , 1997, Robotica.

[25]  B. Faverjon,et al.  Probabilistic Roadmaps for Path Planning in High-Dimensional Con(cid:12)guration Spaces , 1996 .

[26]  Derek P. Atherton,et al.  No-overshoot control of robotic manipulators in the presence of obstacles , 1994, J. Field Robotics.

[27]  Bernhard E. Boser,et al.  A training algorithm for optimal margin classifiers , 1992, COLT '92.

[28]  Jean-Claude Latombe,et al.  Robot Motion Planning: A Distributed Representation Approach , 1991, Int. J. Robotics Res..

[29]  A. Hayashi Geometrical motion planning for highly redundant manipulators using a continuous model , 1991 .

[30]  James D. Lee,et al.  Optimal control of a flexible robot arm , 1988 .

[31]  O. Khatib,et al.  Real-Time Obstacle Avoidance for Manipulators and Mobile Robots , 1985, Proceedings. 1985 IEEE International Conference on Robotics and Automation.

[32]  Ingo Rechenberg,et al.  Evolutionsstrategie : Optimierung technischer Systeme nach Prinzipien der biologischen Evolution , 1973 .