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Action Generative Networks Planning for Deformable Object with Raw Observations
Synthesizing plans for a deformable object to transit from initial observations to goal observations, both of which are represented by high-dimensional data (namely “raw” data), is challenging due to the difficulty of learning abstract state representations of raw data and transition models of conti...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8272096/ https://www.ncbi.nlm.nih.gov/pubmed/34283082 http://dx.doi.org/10.3390/s21134552 |