Manifold Navigation Learning Using Recurrent Networks: Efficient Training Techniques
arXiv:2610.14325v1 Announce Type: new Abstract: Position tracking is a well-studied problem in Euclidean navigation, yet comparatively little attention has been given to navigation on general manifolds, where motion is governed by the underlying geometry of the space. In this work, we formalize the…
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- 2026-10-14 04:00 · arXiv cs.CV
Manifold Navigation Learning Using Recurrent Networks: Efficient Training Techniques