zhuyuze/SC2_WM
AI model by zhuyuze
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Official checkpoints for SC²-WM: A Self-Correcting World Model with Closed-Loop Feedback for Vision-and-Language Navigation in Continuous Environments (ICML 2026). 📄 Paper: https://arxiv.org/abs/2608.07548 💻 Code: https://github.com/sunrise-yuze/SC2WM Authors: Xuan Yao, Yuze Zhu, Junyu Gao, Zongmeng Wang, Changsheng Xu Vision-and-Language Navigation in Continuous Environments (VLN-CE) requires agents to make fine-grained navigation decisions under partial observability. However, most existing methods rely on open-loop execution, lacking mechanisms to detect and correct internal state drift during inference. We propose SC²-WM, a self-correcting world model framework that introduces internal feedback for closed-loop decision making in VLN-CE. Our method derives feedback from world-model foresight to perform state-level plan refinement before action execution. To handle challenging scenarios, we further introduce conditional world-aware adaptation, which enables model-level correction by selectively updating the world model at…
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zhuyuze/SC2_WM is a task-unspecified model repository published by zhuyuze on Hugging Face. A library was not reported.
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- 2026-09-16T06:04:16.000Z
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- 2026-09-16T06:10:04.000Z
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