R-HybrID: Evolution of agent controllers with a hybridisation of indirect and direct encodings
Neuroevolution, the optimisation of artificial neural networks (ANNs) through evolutionary computation, is a promising approach to the synthesis of controllers for autonomous agents. Traditional neuroevolution approaches employ direct encodings, which are limited in their ability to evolve complex o...
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| Outros Autores: | , |
| Formato: | conferenceObject |
| Idioma: | eng |
| Publicado em: |
2022
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| Assuntos: | |
| Texto completo: | http://hdl.handle.net/10071/25116 |
| País: | Portugal |
| Oai: | oai:repositorio.iscte-iul.pt:10071/25116 |