新基准PokeGym在《宝可梦传说：Z-A》中测试AI代理

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

研究人员推出了PokeGym，一个基于游戏《宝可梦传说：Z-A》构建的新基准环境，旨在测试视觉语言代理在无需直接访问游戏状态的情况下跨多个游戏回合进行适应和学习的能力。为了应对该环境的挑战，他们还开发了G-EvoMAC，一个图引导框架，可协同优化视觉感知、策略和动作选择。实验表明，G-EvoMAC在PokeGym上实现了60.18%的成功率，显著优于现有方法。 AI

影响为评估复杂、视觉驱动环境中的多模态AI代理引入了一个新基准。

排序理由学术论文，介绍了一个新的基准和框架。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CV 阅读 →

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Newsworthiness bucket: Tool; 学术论文，介绍了一个新的基准和框架。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

arXiv cs.CV TIER_1 English(EN) · Ruizhi Zhang, Ye Huang, Yuangang Pan, Chuanfu Shen, Zhilin Liu, Ting Xie, Haijun Lei, Lixin Duan · 2026-08-04 04:00

掌握 PokeGym：测试时的图引导多模态演化

arXiv:2604.08340v2 Announce Type: replace Abstract: While artificial intelligence has mastered structured games like chess and Go, vision-language agents still struggle in visually-driven 3D games without access to game states. Existing game environments typically evaluate a fixe…

本文如何被排名

报道来源 [1]

掌握 PokeGym：测试时的图引导多模态演化

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