4 papers
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,…
TwinLoop: Simulation-in-the-Loop Digital Twins for Online Multi-Agent Reinforcement Learning
Nan Zhang, Zishuo Wang, Shuyu Huang +4
Decentralised online learning enables runtime adaptation in cyber-physical multi-agent systems, but when operating conditions change, learned policies often require substantial tri…
Dynamic Service Scheduling and Resource Management in Energy-Harvesting Multi-access Edge Computing
Shuyi Chen, Panagiotis Oikonomou, Zhengchang Hua +4
Multi-access Edge Computing (MEC) delivers low-latency services by hosting applications near end-users. To promote sustainability, these systems are increasingly integrated with re…
A Digital Twin-based Multi-Agent Reinforcement Learning Framework for Vehicle-to-Grid Coordination
Zhengchang Hua, Panagiotis Oikonomou, Karim Djemame +2
The coordination of large-scale, decentralised systems, such as a fleet of Electric Vehicles (EVs) in a Vehicle-to-Grid (V2G) network, presents a significant challenge for modern c…