← Back to papers

2025 L4DC L4DC 2025

STRiDE: STate-space Riemannian Diffusion for Equivariant Planning

Authors

Evangelos Chatzipantazis , Nishanth Rao , Kostas Daniilidis

Related papers

Exploiting Approximate Symmetry for Efficient Multi-Agent Reinforcement Learning 2025

Learning Feasible Transitions for Efficient Contact Planning 2025

Learning Kolmogorov-Arnold Neural Activation Functions by Infinite-Dimensional Optimization 2025

A Short Information-Theoretic Analysis of Linear Auto-Regressive Learning 2025

Safe Decision Transformer with Learning-based Constraints 2025