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Hybrid Imitation Learning Framework for Robotic Manipulation Tasks
This study proposes a novel hybrid imitation learning (HIL) framework in which behavior cloning (BC) and state cloning (SC) methods are combined in a mutually complementary manner to enhance the efficiency of robotic manipulation task learning. The proposed HIL framework efficiently combines BC and...
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| Publicado no: | Sensors (Basel) |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI
2021
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8153608/ https://ncbi.nlm.nih.gov/pubmed/34068422 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s21103409 |
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