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Preprint Aug 2026

Visual Representation and History Modeling for Navigation World Models

Navigation World Models (NWMs) predict action-conditioned visual futures for planning. Two practical challenges are central to their design: selecting a suitable visual representation and efficiently modeling observation history for repeated candidate queries. Standard Global-Softmax attention provides flexible interac...

Guang-Fu Guo, Xiao-Qian Lu, Rui Liu et al. · 0 citations
#artificial intelligence Preprint Sep 2026

Hierarchical and Permutation-Invariant Feature Transformation Learning via Policy-Guided Embedding Search

This work proposes a framework with two complementary components: a permutation-invariant hierarchical module that captures interactions across features, operations, and abstraction levels, with a self-attention pooling mechanism that maps semantically equivalent structures to consistent embeddings aligned with downstr...

Rui Liu, Tao Zhe, Yanyong Huang et al. · 2 citations

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