MEKAWIRE
专业arXiv

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

Jingbo Xu, Jianjie Fang, Zhuohang Li, Zihao Song, Zhaolu Wang, Xvyuan Liu, Xin Zhang, Haisheng Su, Yinzhou Tang, Chen Gao, Wei Wu, Yong Li
暂无中文版,显示英文原文。
摘自论文摘要

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 trajectories, they are typically trained in isolation, which restricts knowledge reuse between prediction and control.

摘自论文摘要,摘要生成中。

受许可协议限制,本站不转载该论文全文,仅提供摘要和原文链接。