Planning Neural Dynamics with Lie Group Embedding through Supervised Projective Manifold Learning

arXiv:2605. 26167v1 Announce Type: new Abstract: We propose Lie group embedded dynamical neural networks (LieEDNN) and the corresponding learning algorithms based on gradient descent and metric projection on smooth manifold, where we treat Lie group as an intrinsic representation for continuous symmetry of manifold geometry.