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English(EN) What preferences can - and cannot - predict in multi-agent online learning

新研究探讨多智能体在线学习中的偏好预测

作者 PulseAugur 编辑部 · [1 个来源] ·

一篇新论文探讨了序数偏好与多智能体在线学习动态的长期行为之间的关系。研究人员 Panayotis Mertikopoulos 及其同事证明，虽然偏好结构可以预测一些稳定的结果，但反之并非总是成立。他们表明，在所有情况下，偏好并不能完全决定动态稳定性，并引入了聚合偏差下的韧性概念来弥合这一差距。 AI

排序理由 该集群包含一篇发表在 arXiv 上的学术论文。[lever_c_demoted from research: ic=1 ai=0.4]

在 arXiv cs.LG 阅读 →

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

新研究探讨多智能体在线学习中的偏好预测

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该集群包含一篇发表在 arXiv 上的学术论文。[lever_c_demoted from research: ic=1 ai=0.4]
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报道来源 [1]

  1. arXiv cs.LG TIER_1 English(EN) · Omar Abbadi, Rida Laraki, Panayotis Mertikopoulos ·

    多智能体在线学习中，哪些偏好可以预测，哪些不可以

    arXiv:2608.13810v1 Announce Type: cross Abstract: We examine the interplay between ordinal, preference-based solution concepts in games and the long-run behavior of game dynamics, asking in particular to what extent the combinatorial data of a game -- its preference graph -- dete…

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