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Author

Yu Han

h-index 2 View on Semantic Scholar

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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
#artificial intelligence Preprint Aug 2026

WM-R1: Training GUI Agents to Reason and leverage World Models with Reinforcement Learning

WM-R1 is the first reinforcement learning framework that trains mobile GUI agents with world models instead of real environments, eliminating the need for real-environment interaction, supports massively parallelized and step-level granularized trajectory generation grounded in world models, and introduces a multi-dime...

Yu Han, Tianwen Qian · 0 citations

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