Evolutionary acquisition of neural topologies

Evolutionary acquisition of neural topologies (EANT/EANT2) is an evolutionary reinforcement learning method that evolves both the topology and… (More)
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Topic mentions per year

2005-2009
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2009
2009
  • Nathaniel Tucker
  • 2009
Adaptive intelligence is the ability of a system to respond quickly and effectively to changes in its environment during its… (More)
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2008
2008
Many multiagent problems comprise subtasks which can be considered as reinforcement learning (RL) problems. In addition to… (More)
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2008
2008
For many complex Reinforcement Learning (RL) problems with large and continuous state spaces, neuroevolution has achieved… (More)
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2007
2007
In this article we describe EANT2, Evolutionary Acquisition of Neural Topologies, Version 2, a method that creates neural… (More)
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2007
2007
In this article we present EANT, “Evolutionary Acquisition of Neural Topologies”, a method that creates neural networks (NNs) by… (More)
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2007
2007
Several methods have been proposed for solving reinforcement learning (RL) problems. In addition to temporal difference (TD… (More)
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2006
2006
In this article we introduce a method to learn neural networks that solve a visual servoing task. Our method, called EANT… (More)
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2005
2005
In this paper we present a novel method, called Evolutionary Acquisition of Neural Topologies (EANT), of evolving the structure… (More)
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2005
2005
In this paper we present an automatic design of neural controllers for robots using a method called Evolutionary Acquisition of… (More)
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