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

Hua, Z., Oikonomou, P., Djemame, K. et al. (2 more authors) (Accepted: 2025) A Digital Twin-based Multi-Agent Reinforcement Learning Framework for Vehicle-to-Grid Coordination. In: Algorithms and Architectures for Parallel Processing. 25th International Conference on Algorithms and Architectures for Parallel Processing, 30 Oct - 02 Nov 2025, Zhengzhou, Henan, China. Lecture Notes in Computer Science. Springer. ISSN: 0302-9743. EISSN: 1611-3349. (In Press)

Metadata

Item Type: Proceedings Paper
Authors/Creators:
  • Hua, Z.
  • Oikonomou, P.
  • Djemame, K.
  • Tziritas, N.
  • Theodoropoulos, G.
Copyright, Publisher and Additional Information:

This is an author produced version of a conference paper accepted for publication in Algorithms and Architectures for Parallel Processing, made available under the terms of the Creative Commons Attribution License (CC-BY), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited.

Dates:
  • Accepted: 11 September 2025
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds)
Date Deposited: 20 Nov 2025 15:43
Last Modified: 20 Nov 2025 15:43
Status: In Press
Publisher: Springer
Series Name: Lecture Notes in Computer Science
Open Archives Initiative ID (OAI ID):

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