Beyond Prediction: Steering VLM Agents with Retrospective World Modeling
Equipping VLM agents with world modeling capabilities has shown strong potential for complex reasoning and long-horizon planning, while reducing the dependence of policy learning on costly real-world interactions. Existing methods mainly rely on prospective simulation to predict the consequences of candidate actions. H...
Yong-Jiang Liu, Jiewei Zhang, Hao-Yue Zhang et al.
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