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Author

Andreas Gavrielides

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#artificial intelligence Preprint Oct 2026

Deadline-Aware Multi-Agent Reinforcement Learning for TSN-Based Vehicular Edge Networks

This work proposes a multi-agent reinforcement learning (MARL) approach for queue-level scheduling in TSN-enabled VEC and employs multi-agent proximal policy optimization (MAPPO) to enable coordinated yet autonomous scheduling decisions.

Bernardo A. C. Pereira, Marcos Carvalho, Fatih Temiz et al. · 0 citations
Conference Jul 2026

Programmable B5G Infrastructure for Vertical-Aware Slice Orchestration: Teleoperation in Dynamic 5G Environments

As 5G and Beyond networks increasingly expose programmable capabilities to vertical industries through standardized APIs such as CAMARA, new challenges emerge regarding efficient and reliable resource orchestration. In this paper we present a vertical-aware orchestration framework based on intelligent edge-deployed net...

Vincent Charpentier, Andreas Gavrielides, Miguel Camelo et al. · 0 citations

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