Author

Yuqian Fu

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Review Sep 2026

GroundingVLN: Reasoning and Acting with Grounding for Vision-Language Navigation

This work proposes GroundingVLN, which uses visual grounding as a shared interface between reasoning and action, and introduces Grounded and Execution-Aware Reinforcement Learning (GEAR), which aligns grounded reasoning and spatial decisions with downstream execution.

Kailing Li, Yu Han, Tian-Wen Qian et al. · 0 citations

2025

Learning and Planning Multi-Agent Tasks via an MoE-based World Model

M3W is a novel approach that applies mixture-of-experts (MoE) to world model instead of policy, enabling both learning and planning, and demonstrates superior performance, sample efficiency, and multi-task adaptability.

Zi-Jie Zhao, Zhong Zhao, Kaixuan Xu et al. · Neural Information Processin... · 9 citations