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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...

詳細記述

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書誌詳細
出版年:Front Robot AI
主要な著者: Matsushima, Tatsuya, Kondo, Naruya, Iwasawa, Yusuke, Nasuno, Kaoru, Matsuo, Yutaka
フォーマット: Artigo
言語:Inglês
出版事項: Frontiers Media S.A. 2020
主題:
オンライン・アクセス: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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