Symmetry and complexity in object-centric deep active inference models
Humans perceive and interact with hundreds of objects every day. In doing so, they need to employ mental models of these objects and often exploit symmetries in the object's shape and appearance in order to learn generalizable and transferable skills. Active inference is a first principles appr...
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Veröffentlicht in: | Interface focus 2023-04, Vol.13 (3), p.20220077 |
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Sprache: | eng |
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