AINeutralarXiv – CS AI · Mar 34/105
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Feasible Pairings for Decentralized Integral Controllability of Non-Square Systems
Researchers develop mathematical framework for decentralized control systems in non-square systems, with applications extending to Multi-Agent Reinforcement Learning (MARL) environments. The work introduces D-stability concepts for non-square matrices and proposes methods to identify stable control pairings for distributed AI architectures.
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