Learning Intuitive Physics and One-Shot Imitation Using State-Action-Prediction Self-Organizing Maps
Human learning and intelligence work differently from the supervised pattern recognition approach adopted in most deep learning architectures. Humans seem to learn rich representations by exploration and imitation, build causal models of the world, and use both to flexibly solve new tasks. We sugges...
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| Autores principales: | , |
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| Formato: | article |
| Lenguaje: | EN |
| Publicado: |
Hindawi Limited
2021
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| Acceso en línea: | https://doaj.org/article/26375a49689c4365acbf01ed5850008d |
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