Multi-Agent Reinforcement Learning for Coordinating Communication and Control
Author:
Affiliation:
1. Department of Information Engineering, University of Padova, Padua, Italy
2. Department of Electronic Systems, Aalborg University, Aalborg, Denmark
Funder
European Union under the Italian National Recovery and Resilience Plan (NRRP) of NextGenerationEU
REDIAL Young Researchers
RESTART partnership on “Telecommunications of the Future”
Villum Investigator Grant “WATER” from the Velux Foundation, Denmark
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/6687307/10629642/10490134.pdf?arnumber=10490134
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1. Industrial IoT in 5G environment towards smart manufacturing
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4. AoI-Penalty Minimization for Networked Control Systems with Packet Loss
5. Real-time status: How often should one update?
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