HyperNEAT

Hypercube-based NEAT, or HyperNEAT, is a generative encoding that evolves artificial neural networks (ANNs) with the principles of the widely used… (More)
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Topic mentions per year

Topic mentions per year

2007-2017
051020072017

Papers overview

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2013
2013
Natural brains effectively integrate multiple sensory modalities and act upon the world through multiple effector types. As… (More)
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2012
2012
This paper considers the challenge of enabling agents to learn with as little domain-specific knowledge as possible. The main… (More)
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2011
2011
A challenging goal of generative and developmental systems (GDS) is to effectively evolve neural networks as complex and capable… (More)
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2011
2011
The recently-introduced evolvable-substrate HyperNEAT algorithm (ES-HyperNEAT) demonstrated that the placement and density of… (More)
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2010
2010
In an application where autonomous robots can amalgamate spontaneously into arbitrary organisms, the individual robots cannot… (More)
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2010
2010
HyperNEAT represents a class of neuroevolutionary algorithms that captures some of the power of natural development with a… (More)
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Highly Cited
2009
Highly Cited
2009
Legged robots show promise for complex mobility tasks, such as navigating rough terrain, but the design of their control software… (More)
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2009
2009
In this paper we present application of genetic programming (GP) [1] to evolution of indirect encoding of neural network weights… (More)
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2009
2009
In this paper we present neuro-evolution of neural network controllers for mobile agents in a simulated environment. The… (More)
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2009
2009
In this paper we describe simulation of autonomous robots controlled by recurrent neural networks, which are evolved through… (More)
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