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pro vyhledávání: '"Luca Grillotti"'
Publikováno v:
Proceedings of the Genetic and Evolutionary Computation Conference Companion.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::065f752958d5108a9f7159d8cd9d9999
https://doi.org/10.1145/3520304.3528927
https://doi.org/10.1145/3520304.3528927
Autor:
Luca Grillotti, Antoine Cully
Publikováno v:
Genetic and Evolutionary Computation Conference (GECCO)
Quality-Diversity algorithms provide efficient mechanisms to generate large collections of diverse and high-performing solutions, which have shown to be instrumental for solving downstream tasks. However, most of those algorithms rely on a behavioura
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3fc922530a54148807a06ac545b0999c
http://arxiv.org/abs/2204.09828
http://arxiv.org/abs/2204.09828
Autor:
Luca Grillotti, Antoine Cully
Quality-Diversity algorithms refer to a class of evolutionary algorithms designed to find a collection of diverse and high-performing solutions to a given problem. In robotics, such algorithms can be used for generating a collection of controllers co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::510065e1cc8e9ce704f2aa8c07467967