Author

Bernardo A. C. Pereira

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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