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Modeling Task Uncertainty for Safe Meta-Imitation Learning
To endow robots with the flexibility to perform a wide range of tasks in diverse and complex environments, learning their controller from experience data is a promising approach. In particular, some recent meta-learning methods are shown to solve novel tasks by leveraging their experience of perform...
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| Publié dans: | Front Robot AI |
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| Auteurs principaux: | , , , , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
Frontiers Media S.A.
2020
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7805769/ https://ncbi.nlm.nih.gov/pubmed/33501364 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/frobt.2020.606361 |
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