Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Manoury, Alexandre"'
Publikováno v:
KI - K{\"u}nstliche Intelligenz, Springer Nature, 2021, 35 (81-90)
Multi-task learning by robots poses the challenge of the domain knowledge: complexity of tasks, complexity of the actions required, relationship between tasks for transfer learning. We demonstrate that this domain knowledge can be learned to address
Externí odkaz:
http://arxiv.org/abs/2202.10222
To be capable of lifelong learning in a real-life environment, robots have to tackle multiple challenges. Being able to relate physical properties they may observe in their environment to possible interactions they may have is one of them. This skill
Externí odkaz:
http://arxiv.org/abs/2009.10968
Publikováno v:
KI-Künstliche Intelligenz
KI-Künstliche Intelligenz, Springer Nature, 2021, 35 (81-90), ⟨10.1007/s13218-021-00708-8⟩
KI-Künstliche Intelligenz, 2021, 35 (81-90), ⟨10.1007/s13218-021-00708-8⟩
KI-Künstliche Intelligenz, Springer Nature, 2021, 35 (81-90), ⟨10.1007/s13218-021-00708-8⟩
KI-Künstliche Intelligenz, 2021, 35 (81-90), ⟨10.1007/s13218-021-00708-8⟩
International audience; Multi-task learning by robots poses the challenge of the domain knowledge: complexity of tasks, complexity of the actions required, relationship between tasks for transfer learning. We demonstrate that this domain knowledge ca
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::890fd973e3388ba76bb04182d306079c
https://hal.archives-ouvertes.fr/hal-03157219
https://hal.archives-ouvertes.fr/hal-03157219