English(EN) UniW(A)M: A Unified Mixture-of-Experts Framework for World and World-Action Models

UniW(A)M框架使用扩散Transformer统一世界模型和动作模型

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-15 04:00

研究人员推出 UniW(A)M，一个新颖的混合专家框架，旨在统一世界模型和世界-动作模型。该框架利用扩散Transformer共享通用物理动力学，同时允许预测和控制的独特建模能力。UniW(A)M 在真实世界操作任务和动作条件世界建模基准上展现出卓越的性能，优于现有基线。 AI

影响这个统一的框架可以改善机器人和具身AI系统中预测和控制之间的知识重用。

排序理由这是一篇描述新模型架构及其在基准上性能的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]

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arXiv cs.AI TIER_1 English(EN) · Jingbo Xu, Jianjie Fang, Zhuohang Li, Zihao Song, Zhaolu Wang, Xvyuan Liu, Xin Zhang, Haisheng Su, Yinzhou Tang, Chen Gao, Wei Wu, Yong Li · 2026-10-15 04:00

UniW(A)M：世界与世界-动作模型的统一专家混合框架

arXiv:2610.18697v1 Announce Type: cross Abstract: World models (WMs) and world-action models (WAMs) focus on future world prediction and executable action generation, respectively. Although these models learn shared physical dynamics and interaction semantics from embodied trajec…