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Hq0976 (Diskussion | Beiträge) (Die Seite wurde neu angelegt: „{{Projekt |Kurzname=DLER |Name=Deep Learning in Evolutionary Robotics |Name EN=Deep Learning in Evolutionary Robotics |Beschreibung DE=The project aims at connect…“) |
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|Beschreibung DE=The project aims at connecting the promising results achieved recently in Deep Learning with the complementary view on AI given by the theory of embodiment in Evolutionary Robotics. The project's goals are to establish a theoretical DL framework for ER, to study the requirements of objective quality metrics (benchmarks etc., particularly to measure "complexity") in this specific context, and to eventually evolve behaviors of higher complexity than the state of the art in ER. | |Beschreibung DE=The project aims at connecting the promising results achieved recently in Deep Learning with the complementary view on AI given by the theory of embodiment in Evolutionary Robotics. The project's goals are to establish a theoretical DL framework for ER, to study the requirements of objective quality metrics (benchmarks etc., particularly to measure "complexity") in this specific context, and to eventually evolve behaviors of higher complexity than the state of the art in ER. | ||
|Beschreibung EN=The project aims at connecting the promising results achieved recently in Deep Learning with the complementary view on AI given by the theory of embodiment in Evolutionary Robotics. The project's goals are to establish a theoretical DL framework for ER, to study the requirements of objective quality metrics (benchmarks etc., particularly to measure "complexity") in this specific context, and to eventually evolve behaviors of higher complexity than the state of the art in ER. | |Beschreibung EN=The project aims at connecting the promising results achieved recently in Deep Learning with the complementary view on AI given by the theory of embodiment in Evolutionary Robotics. The project's goals are to establish a theoretical DL framework for ER, to study the requirements of objective quality metrics (benchmarks etc., particularly to measure "complexity") in this specific context, and to eventually evolve behaviors of higher complexity than the state of the art in ER. | ||
| − | |Kontaktperson=Lukas König, | + | |Kontaktperson=Lukas König, |
|Start=2017/01/01 | |Start=2017/01/01 | ||
|Ende=2018/03/30 | |Ende=2018/03/30 | ||
|Finanziert von=BW | |Finanziert von=BW | ||
|Projektstatus=aktiv | |Projektstatus=aktiv | ||
| + | |Person=Lukas König, Fredy Rios, | ||
|Forschungsgruppe=Effiziente Algorithmen | |Forschungsgruppe=Effiziente Algorithmen | ||
}} | }} | ||
Version vom 31. Oktober 2017, 16:27 Uhr
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Deep Learning in Evolutionary Robotics |
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Beschreibung
The project aims at connecting the promising results achieved recently in Deep Learning with the complementary view on AI given by the theory of embodiment in Evolutionary Robotics. The project's goals are to establish a theoretical DL framework for ER, to study the requirements of objective quality metrics (benchmarks etc., particularly to measure "complexity") in this specific context, and to eventually evolve behaviors of higher complexity than the state of the art in ER.
Involvierte Personen
Informationen
von: 1 Januar 2017
bis: 30 März 2018
Finanzierung: BW
Forschungsgruppe
Forschungsgebiet
Publikationen zum Projekt
article
- inproceedings
- book
- incollection
- booklet
- proceedings
- phdthesis
- techreport
- deliverable
- manual
- misc
- unpublished