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English(EN) Joint Communication-Control Strategy Optimization with Partially Nested Information Structures: The Linear-Quadratic Case

新的动态规划方法优化多智能体通信控制

研究人员开发了一种新的动态规划方法,用于优化多智能体线性系统中的联合通信控制策略。该方法专门解决了在分散式随机控制框架内具有二次成本和部分嵌套信息结构的问题。该方法产生了闭式Riccati方程,并且还可以解决具有输出反馈的分散式线性二次型控制问题。 AI

排序理由 该集群包含一篇详细介绍新技术方法的学术论文。[lever_c_demoted from research: ic=1 ai=0.1]

在 arXiv cs.MA (Multiagent) 阅读 →

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新的动态规划方法优化多智能体通信控制

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该集群包含一篇详细介绍新技术方法的学术论文。[lever_c_demoted from research: ic=1 ai=0.1]
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报道来源 [1]

  1. arXiv cs.MA (Multiagent) TIER_1 English(EN) · Kaiqing Zhang ·

    具有部分嵌套信息结构的联合通信-控制策略优化:线性二次情形

    In this paper, we formalize a joint communication-control strategy optimization (JCCO) problem in multi-agent linear systems with quadratic costs, under the common-information-based (CIB) framework from decentralized stochastic control. For computational tractability, we focus on…