Results 31 to 40 of about 2,526 (197)
Multi-agent reinforcement learning based dynamic optimization algorithm of CRE offset for heterogeneous networks [PDF]
, 2023 To cope with the high throughput demand caused by the proliferation of wireless network users, a multi-agent reinforcement learning based dynamic optimization algorithm of cell range expansion (CRE) offset was proposed for interference scenarios in macro-
Cheng ZHANG +3 more
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Developmental Medicine &Child Neurology, Volume 61, Issue 3, Page E1-E35, March 2019., 2019 目的 本国际临床指南由欧洲残疾儿童学会（the European Academy of Childhood Disability，EACD）牵头制定，旨在解决发育性协调障碍（developmental coordination disorder，DCD）的定义、诊断、评估、干预以及与社会心理方面的临床应用关键问题。 方法 本指南针对五个领域的关键问题，通过文献综述和专家团队的正式讨论达成共识。为保证指南的循证基础，以“机制”、“评估”和“干预”为检索词, 对2012年更新以来提出的最新建议以及新增的“社会心理问题”和“青少年/成人”为检索词进行检索。根据牛津大学循证医学中心证据等级 (证据水平 [level of evidence, LOE]1–4) 将结果进行分类，最终转化为指南建议。并由国际 ...
Jing Hua +6 more
wiley +1 more source
Research on a knowledge-defined polymorphic network attainable service architecture [PDF]
, 2022 Given the consideration of future generation mobile communication network systems with decoupled administration, control, and data planes, a knowledge-defined polymorphic network (KDPN) attainable service architecture was proposed.In the proposed ...
Jingyu WANG, Zirui ZHUANG
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智能科学与技术学报, 2020 通过强化学习研究了异构多智能体系统的输出同步问题。根据多智能体系统的拓扑结构，定义一个具有邻居控制输入的性能指标和价值函数。为克服已有控制方法需要系统模型的弊端，提出一个基于系统数据的强化学习算法，使输出同步控制器也可以被应用于模型未知的情况。此外，通过调节价值函数中的权重矩阵，可以减少每个智能体的控制成本。最后，通过一个仿真示例验证了该方法的有效性和定义的价值函数的优越性。
刘莹莹, 王占山
doaj
From collective flight in bird flocks to unmanned aerial vehicle autonomous swarm formation [PDF]
, 2017 The mission abilities of unmanned aerial vehicles (UAVs) under complex environments will be improved by autonomous swarm formations. The coexistence of multiple aircrafts raises a series of problems, such as growing difficulties in coordinated ...
DUAN Hai-bin, QIU Hua-xin
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Distributed gradient-based consensus optimization algorithm and convergence analysis [PDF]
, 2020 A distributed optimization problem is cooperatively solved by a network of agents, which have significant applications in many science and engineering fields, such as metallurgical engineering.
Kaixiang PENG, Shu LIANG
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大数据, 2023 情报数据作为一种高价值的数据资产，被存储在不同平台，被不同主体所持有，具有高分散性和低可用性特点。由于结构形态与存储方式不同，多源异构情报数据难以实现高效汇聚共享，多主体间情报信息融合和综合分析利用存在较大困难。因此亟须在跨域情报主体间建立安全可信的共享互操作机制，在满足数据确权、安全审计等管理要求的同时，实现情报信息的深度挖掘。针对跨域情报数据可信共享需求与应用特点，提出基于数据对象的情报管理方法，并采用数字对象体系架构及区块链可信访问控制技术构建跨域情报数据可信共享系统 ...
彭泰, 孙晶, 陈旭涧, 周纤, 叶宇铭, 白晓颖
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Policy &Internet, Volume 17, Issue 1, March 2025.ABSTRACT The EU Artificial Intelligence Act is the world's first attempt to holistically regulate artificial intelligence. It presents an extensive, multi‐faceted definition of deepfakes, and introduces specific safeguards against their misuses. These guardrails have the potential to become a global role model.
Mateusz Łabuz
wiley +1 more source
Consensus of Multi-agent Systems and Its Applications in Coverage Control [PDF]
, 2017 目前多智能体系统一致性的研究是多个学科的研究热点，受到了越来越广泛的关注。多智能体系统一致性是指多智能体网络的个体遵循某种规则，互相进行通信及交换信息，最终多智能体系统中的所有的个体的状态趋于一致。 本文研究了具有外部干扰的多智能体系统的自适应一致性和基于一致性算法的连续时间覆盖控制问题。具有外部扰动的多智能体系统的一致性问题的研究具有显著的现实意义和理论价值，只利用有限的模型信息和采用输出反馈自适应控制器是本文的亮点，采用输出反馈相较于状态反馈可以节约较多成本。本文首先证明了在未知干扰作用下 ...
谢警
core
Spectrum allocation algorithm based on multi-agent reinforcement learning in smart grid [PDF]
, 2023 In view of the fact that 5G networks are used to meet the service requirements of various power terminals in smart grid, a spectrum allocation algorithm based on multi-agent reinforcement learning was proposed.Firstly, for the integrated access backhaul ...
Feng YAN +5 more
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