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English(EN) Lipschitz Dueling Bandits over Continuous Action Spaces

新研究探索多智能体和对决设置中的Lipschitz土匪

作者 PulseAugur 编辑部 · [3 个来源] ·

两篇新研究论文探讨了复杂场景下的高级土匪算法。第一篇论文解决了连续动作空间中Lipschitz常数未知的合作多智能体土匪问题，提出了一种估计该常数并使用离散化方法来实现遗憾保证的算法。第二篇论文介绍了第一个具有Lipschitz结构的连续动作空间随机对决土匪算法，侧重于比较反馈并实现对数空间复杂度。 AI

影响 这些论文在强化学习方面推进了理论理解和算法能力，有可能在复杂、不确定的环境中实现更高效的决策。

排序理由 arXiv上发表了两篇学术论文，详细介绍了土匪问题的新算法。

在 arXiv cs.LG 阅读 →

AI 生成摘要 · Google Gemini · 来自 3 个来源。 我们如何撰写摘要 →

新研究探索多智能体和对决设置中的Lipschitz土匪

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arXiv上发表了两篇学术论文，详细介绍了土匪问题的新算法。
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报道来源 [3]

  1. arXiv cs.LG TIER_1 English(EN) · Andy Wang, Charlton Shih, William Chang ·

    DCM Bandits：多方信息不对称级联多重点击Bandits算法

    arXiv:2608.11873v1 Announce Type: new Abstract: In this work, we extend the Dependent Click Model (DCM) Bandits to a multiplayer information-asymmetric setting, where multiple agents interact with a shared ranked list and may observe multiple clicks per session, introducing new c…

  2. arXiv cs.AI TIER_1 English(EN) · Ricardo Parada, Chenzhang Zhao, William Chang ·

    多玩家老虎机中未知 Lipschitz 常数的协调

    arXiv:2608.10526v1 Announce Type: cross Abstract: Motivated by decentralized applications, we study cooperative multi-agent bandits in continuous (Lipschitz) action spaces when the Lipschitz constant is unknown. We consider three information structures: (A)~unobserved actions wit…

  3. arXiv cs.LG TIER_1 English(EN) · Mudit Sharma, Shweta Jain, Vaneet Aggarwal, Ganesh Ghalme ·

    连续动作空间上的 Lipschitz 对策博弈

    arXiv:2604.00523v2 Announce Type: replace Abstract: We study for the first time, stochastic dueling bandits over continuous action spaces with Lipschitz structure, where feedback is purely comparative. While dueling bandits and Lipschitz bandits have been studied separately, thei…

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