LEEVLA is a VLA architecture for seeing what matters in Latent Environment Evolution that explicitly guides the model toward informative regions while preserving the structured evolution of latent world representations, confirming that explicit task-evidence guidance and structured latent reasoning are both crucial for...
Qi Lyu, Baicheng Liu, Xu-Dong Wang et al.· arXiv.org· 0 citations
This article proposes ReasonWalker, a novel navigation model designed to enable reasoning-based navigation using implicit instructions over time, and proposes a new hierarchical learning paradigm, where the model first learns navigation actions and then acquires scene associations for implicit instruction reasoning.
Xudong Wang, Bai-Cheng Liu, Jia-Hua Dong et al.· IEEE Transactions on Cyberne...· 0 citations
By capturing intrinsic dynamics from a random complete reference demonstration, the DAMI framework learns the underlying task logic rather than memorizing static cues, ensuring effective generalization.
Zhenduo Shang, Xi-Yao Liu, Bo-Han Li et al.· arXiv.org· 0 citations
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