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English(EN) Towards Generalist Game Agents: A Survey of Foundation Models in Virtual Worlds

调查报告描绘了掌握虚拟世界的通用人工智能代理的路径

一篇新发表在arXiv上的调查论文探讨了用于创建能够掌握各种虚拟世界的通用代理的基础模型的发展。该论文概述了四个进步时代,从符号学习到当前的基础模型,再到代理在游戏环境中构建和进化的未来创造者阶段。它确定了目前限制这些系统的五个基本权衡,并提出了一个五步路线图,以实现能够无缝掌握游戏多元宇宙中任何挑战的代理,为通用人工智能铺平道路。 AI

影响 概述了通过掌握各种虚拟环境来开发具有通用智能的人工智能代理的路线图。

排序理由 该项目是一篇发表在arXiv上的调查论文,详细介绍了人工智能的研究进展和未来方向。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CV 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

调查报告描绘了掌握虚拟世界的通用人工智能代理的路径

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该项目是一篇发表在arXiv上的调查论文,详细介绍了人工智能的研究进展和未来方向。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.CV TIER_1 English(EN) · Kuan Zhang, Dongchen Liu, Qiyue Zhao, Tianyu Xin, Yue Su, Haisheng Wang, Han Yin, Hongbo Ma, Peize Li, Tianjun Gu, Xiangnan Wu, Xinran Zhang, Yongxuan Li, Zirong Chen, Yiming Li ·

    迈向通用游戏代理:虚拟世界中基础模型的调查研究

    arXiv:2605.09965v3 Announce Type: replace Abstract: The real world unfolds along a single set of physics laws, yet human intelligence demonstrates a remarkable capacity to generalize experiences from this singular physical existence into a multiverse of games, each governed by en…