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HyperNEAT

Hypercube-based NEAT, or HyperNEAT, is a generative encoding that evolves artificial neural networks (ANNs) with the principles of the widely used… 
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Related topics

Related topics

4 relations
Compositional pattern-producing networkNeuroevolutionNeuroevolution of augmenting topologies

Broader (1)

Evolutionary computation

Papers overview

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Review
2018
Review
2018
Deep HyperNEAT : Evolving the Size and Depth of the Substrate Evolutionary
This report describes DeepHyperNEAT, an extension of HyperNEAT to allow it to alter the topology of its indirectlyencoded neural… 
2017
2017
HyperENTM: Evolving Scalable Neural Turing Machines through HyperNEAT
Recent developments within memory-augmented neural networks have solved sequential problems requiring long-term memory, which are… 
2016
2016
Automatic Evolution of Multimodal Behavior with Multi-Brain HyperNEAT
An important challenge in neuroevolution is to evolve multimodal behavior. Indirect network encodings can potentially answer this… 
2015
2015
Feature Learning HyperNEAT: Evolving Neural Networks to Extract Features for Classification of Maritime Satellite Imagery
Imagery analysis represents a significant aspect of maritime domain awareness; however, the amount of imagery is exceeding human… 
2015
2015
R-HybrID: Evolution of Agent Controllers with a Hybrisation of Indirect and Direct Encodings
Neuroevolution, the optimisation of artificial neural networks (ANNs) through evolutionary computation, is a promising approach… 
2015
2015
Team Search Tactics Through Multi-Agent HyperNEAT
User defined tactics for teams of unmanned systems can be brittle and difficult to define. The state and action space grows with… 
2014
2014
Comparing Adaptivity of Ants using NEAT and rtNEAT
Although individual ants have an extremely basic intelligence, and are completely incapable of surviving on their own, colonies… 
2014
2014
HyperNEAT Versus RL PoWER for Online Gait Learning in Modular Robots
This paper addresses a principal problem of in vivo evolution of modular multi-cellular robots, where robot ‘babies’ can be… 
2011
2011
Scalable Heterogeneous Multiagent Teams Through Learning Policy Geometry
Abstract : This document is the final technical report for Phase II of the DARPA Computer Science Study Group (CSSG) program… 
2011
2011
Extrapolation of regularity using indirect encodings
The choice of training data used in evolution can have a significant impact on the generalized performance of the evolved… 
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