most citedA Digital Twin-based Multi-Agent Reinforcement Learning Framework for Vehicle-to-Grid Coordination

3 citations · 3 across the 4 of their papers we have counts for

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cs.SE2026

Integrating Heterogeneous Digital Twins in Federated Ecosystems

Christian Vergara-Marcillo, Rami Bahsoon, Nikos Tziritas +3

Digital Twins (DTs) are increasingly used to virtualise physical systems at different scales, enabling monitoring, simulation, and predictions to support decision-making. However,…