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https://arxiv.org/html/2608.00648v1
MA] 01 Aug 2026
MDGAM-Based Cooperative Task Scheduling for Communication-Constrained Distributed Multi-Agent Systems
Licheng Wang    Mingtao Huang    Yuan Shen Thanks: The authors are with the Department of Electronic Engineering, and Beijing National Research Center for Information Science and Technology
https://arxiv.org/html/2609.03027v1
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https://arxiv.org/html/2609.03159v1
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https://arxiv.org/html/2607.27188v1
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arXiv:2607
https://arxiv.org/html/2608.03358v1
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arXiv:2608
https://arxiv.org/html/2407.13076v1
Zhang are with the School of Intelligent Systems Engineering, Sun Yat-sen University, Shenzhen 518107, China, and with the Guangdong Provincial Key Laboratory of Fire Science and Intelligent Emergency Technology, Guangzhou 510006, China (E-mails: gubo@mail
https://arxiv.org/html/2608.03233v1
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arXiv:2608
https://arxiv.org/html/2407.00762v1
The heightened interest can be attributed to the growing demand of autonomy in both civilian and military applications, such as the Counter-Unmanned Aircraft Systems (C-UAS) technologies [1]
https://arxiv.org/html/2608.00328v2
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arXiv:2608
https://arxiv.org/html/2607.28323v1
TR] 30 Jul 2026
Optimal Execution with Passive Market Impact
Alexander Barzykin HSBC Robert Boyce RB and ST are supported by the EPSRC Centre for Doctoral Training in Mathematics of Random Systems: Analysis, Modelling and Simulation (EP/S023925/1)
https://arxiv.org/html/2608.02668v1
Sphere pp-Angular Retraction Normalization
https://arxiv.org/html/2608.03086v1
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arXiv:2608
https://arxiv.org/html/2607.28410v1
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arXiv:2607
https://arxiv.org/pdf/2005.14165
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