odNEAT: an algorithm for decentralised online evolution of robotic controllers
Online evolution gives robots the capacity to learn new tasks and to adapt to changing environmental conditions during task execution. Previous approaches to online evolution of neural controllers are typically limited to the optimisation of weights in networks with a prespecified, fixed topology. I...
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| Outros Autores: | , , |
| Formato: | article |
| Idioma: | eng |
| Publicado em: |
2016
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| Assuntos: | |
| Texto completo: | http://hdl.handle.net/10071/10504 |
| País: | Portugal |
| Oai: | oai:repositorio.iscte-iul.pt:10071/10504 |