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Maximum Causal Entropy Specification Inference from Demonstrations

In many settings, such as robotics, demonstrations provide a natural way to specify tasks. However, most methods for learning from demonstrations either do not provide guarantees that the learned artifacts can be safely composed or do not explicitly capture temporal properties. Motivated by this def...

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Publicat a:Computer Aided Verification
Autors principals: Vazquez-Chanlatte, Marcell, Seshia, Sanjit A.
Format: Artigo
Idioma:Inglês
Publicat: 2020
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Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC7363230/
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/978-3-030-53291-8_15
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