XP-JEPA 将视觉潜在动力学与物理轨迹相结合

作者 PulseAugur 编辑部 · [1 个来源] · 2026-08-26 04:00

研究人员开发了 XP-JEPA，一种新颖的潜在世界模型方法，提高了其预测和控制物理动力学能力。通过在训练期间在视觉观察和特权物理轨迹之间进行交叉预测，XP-JEPA 将其潜在表示与实际物理转换相结合。即使在训练后移除了物理状态信息，该方法也能显著减少预测漂移并提高控制成功率。 AI

影响通过将潜在世界模型与物理动力学相结合来提高其可预测性和控制能力。

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arXiv cs.LG TIER_1 English(EN) · Kehan Wen, Ziming Li, Siyuan Luo, Fan Shi · 2026-08-26 04:00

XP-JEPA：用于可预测潜在动力学的交叉预测物理基础

arXiv:2608.24044v1 Announce Type: new Abstract: Latent world models plan by predicting how candidate actions transform learned representations. In self-predictive models, however, the encoder and predictor are optimized jointly and can co-adapt to latent transitions that are easy…