2026
DiSPo: Diffusion-SSM Based Policy Learning for Coarse-To-Fine Action Discretization
ICRA 2026poster
We aim to solve the problem of learning user-intended granular skills from multi-granularity demonstrations. Traditional learning-from-demonstration methods typically rely on extensive fine-grained data, interpolation techniques, or dynamics models, which are ineffective at encoding or decoding the …