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GECCO
2009
Springer
14 years 2 months ago
The sensitivity of HyperNEAT to different geometric representations of a problem
HyperNEAT, a generative encoding for evolving artificial neural networks (ANNs), has the unique and powerful ability to exploit the geometry of a problem (e.g., symmetries) by enc...
Jeff Clune, Charles Ofria, Robert T. Pennock
WADS
2001
Springer
113views Algorithms» more  WADS 2001»
14 years 2 months ago
Movement Planning in the Presence of Flows
This paper investigates the problem of time-optimum movement planning in two and three dimensions for a point robot which has bounded control velocity through a set of n polygonal...
John H. Reif, Zheng Sun
ECP
1997
Springer
128views Robotics» more  ECP 1997»
14 years 2 months ago
SINERGY: A Linear Planner Based on Genetic Programming
In this paper we describe SINERGY, which is a highly parallelizable, linear planning system that is based on the genetic programming paradigm. Rather than reasoning about the world...
Ion Muslea
VW
2000
Springer
215views Virtual Reality» more  VW 2000»
14 years 1 months ago
A 3-D Biomechanical Model of the Salamander
This article describes a 3D biomechanical simulation of a salamander to be used in experiments in computational neuroethology. The physically-based simulation represents the salama...
Auke Jan Ijspeert
AIPS
1998
13 years 11 months ago
Solving Stochastic Planning Problems with Large State and Action Spaces
Planning methods for deterministic planning problems traditionally exploit factored representations to encode the dynamics of problems in terms of a set of parameters, e.g., the l...
Thomas Dean, Robert Givan, Kee-Eung Kim