Vision-and-language navigation increasingly relies on general-purpose semantic planners, yet translating correct high-level intent into reliable physical execution remains difficult in spatially constrained transitions. Reaching a staircase, doorway, or narrow passage does not ensure traversal; the agent must identify...
Xue-Kang Yang, Lu-Yao Chen, Shuang Luo et al.· 0 citations
This work introduces P^3 (Probabilistic Policy Propagation), a distribution-aware optimization framework for VAE-based policies that couples moment-based probabilistic method for stable and efficient learning with sampling-based calibration for robust policy behavior under latent uncertainty.
Li-Yun Yan, Jian-Ming Ma, Yang Zhang et al.· arXiv.org· 0 citations
ActSafeGuard is introduced, a differentiable and training-aligned safeguard layer for flow-matching based policies that integrates hard action feasibility into policy learning, not merely treating safety as an inference-time external component.
Jian-Ming Ma, Rong-Jun Jin, Xia-Xi Si et al.· 0 citations
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