Abstract: The design and analysis of distributed learning for multiagent networks generally resort to the graph-theoretical methods in the leader–follower framework, but how to exploit new ...
AnchorChartPRO’s All-in-One EdTech Solution Now Live Columbus, United States – January 1, 2026 / AnchorChartPRO / AnchorChartPRO, an innovative education technology startup headquartered in Columbus, ...
Quantum networks promise to provide secure communication and better computational power than classical computer networks. An important resource for such networks is multipartite entanglement.
Abstract: Most multiagent reinforcement learning (MARL) methods are limited in the scale of problems they can handle. With increasing numbers of agents, the number of training iterations required to ...
Photonic Inc., today announced a comprehensive approach to Quantum Resource Estimation (QRE) that fundamentally shifts how quantum performance will be measured and compared. This method accounts for ...
OLLI at UNF brings 30 engaging Osher Online courses to members this winter, expanding access to dynamic, real-time learning from coast to coast. Osher Online opens the door to national learning ...
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