GROW: Aligning GRPO with State-Action Modeling for Open-World VLM Agents

Recently, vision-language model (VLM) agents have shown promising progress in open-world tasks, where successful task completion often requires multiple turns of visual perception and action execution. However, existing methods still rely primarily on Supervised Fine-Tuning (SFT) with expert demonstrations, while the advanced reinforcement learning (RL) algorithm, specifically Group Relative Policy Optimization (GRPO), has not been effectively employed for multi-turn RL in these tasks because st

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ethics.ai (18 May 2026), “GROW: Aligning GRPO with State-Action Modeling for Open-World VLM Agents,” evidence record 4155, https://ethics.ai/record/4155 (originally published by arXiv).

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