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English(EN) MA-SafeDiffuser: Safe Multi-Agent Planning with Diffusion Probabilistic Models

MA-SafeDiffuser 利用扩散模型和安全保证增强自主多智能体规划 · 跟踪 2 个来源

研究人员推出了 MA-SafeDiffuser,这是自主多智能体规划领域的一项进展,它将扩散概率模型与安全保证相结合。该新系统通过将控制障碍函数 (CBF) 约束嵌入反向扩散过程来扩展单智能体 SafeDiffuser,以确保联合智能体的安全。该方法将安全集形式化为个体和成对障碍集的交集,从而能够进行具有可证明不变性的集中式和去中心化去噪程序。MA-SafeDiffuser 还通过时变规范和活性 CBF 解决了局部陷阱和死锁等潜在问题,与无约束扩散基线相比,在保持规划质量的同时,安全违规行为得到了实际减少。 AI

影响 使用扩散模型增强了自主多智能体系统的安全保证,有可能改善复杂环境中的协调。

排序理由 该集群包含一篇详细介绍自主多智能体规划新方法的学术论文。

在 arXiv cs.MA (Multiagent) 阅读 →

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MA-SafeDiffuser 利用扩散模型和安全保证增强自主多智能体规划 · 跟踪 2 个来源

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该集群包含一篇详细介绍自主多智能体规划新方法的学术论文。
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报道来源 [2]

  1. arXiv cs.AI TIER_1 English(EN) · Kiran Ravish, Ankita Kushwaha, Preeti, Pawan Kumar ·

    MA-SafeDiffuser:使用扩散概率模型的安全多智能体规划

    arXiv:2611.05524v1 Announce Type: new Abstract: We propose MA-SafeDiffuser, a multi-agent extension of SafeDiffuser that equips diffusion-based trajectory planners with finite-time diffusion invariance guarantees for joint-agent safety specifications. Building on the single-agent…

  2. arXiv cs.MA (Multiagent) TIER_1 English(EN) · Pawan Kumar ·

    MA-SafeDiffuser:使用扩散概率模型的安全多智能体规划

    We propose MA-SafeDiffuser, a multi-agent extension of SafeDiffuser that equips diffusion-based trajectory planners with finite-time diffusion invariance guarantees for joint-agent safety specifications. Building on the single-agent construction that embeds control barrier functi…