Dansk(DA) ROTATE: Regret-driven Open-ended Training for Ad Hoc Teamwork

新的 ROTATE 框架增强了 AI 代理与未知伙伴的协作能力

作者 PulseAugur 编辑部 · [1 个来源] · 2026-09-11 04:00

研究人员开发了一个名为 ROTATE 的新框架，用于训练 AI 代理与不熟悉的伙伴协作，这是一个被称为临时团队合作 (AHT) 的挑战。与先前将队友生成和代理训练分开的方法不同，ROTATE 将这些过程统一到一个开放式学习循环中。该算法在改进 AHT 代理和生成暴露代理协作弱点的对抗性队友之间交替进行。在 Overcooked 和 Level-Based Foraging 任务上的实验表明，ROTATE 在泛化到未知队友方面显著优于现有方法。 AI

影响这项研究可能带来更具适应性的 AI 代理，能够在多样化、不可预测的环境中实现无缝协作。

排序理由该集群包含一篇详细介绍 AI 团队合作新算法的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]

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报道来源 [1]

arXiv cs.AI TIER_1 Dansk(DA) · Caroline Wang, Arrasy Rahman, Benjamin Nativi, Jiaxun Cui, Yoonchang Sung, Peter Stone · 2026-09-11 04:00

ROTATE：基于后悔的开放式训练以实现临时团队合作

arXiv:2505.23686v3 Announce Type: replace Abstract: Learning to collaborate with previously unseen partners is a fundamental generalization challenge, known as Ad Hoc Teamwork (AHT). Existing methods often adopt a two-stage pipeline: first, a fixed population of teammates is gene…

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ROTATE：基于后悔的开放式训练以实现临时团队合作

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