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