Author

M. Erol-Kantarci

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#artificial intelligence Preprint Oct 2026

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

Vehicular edge computing (VEC) enables latency-sensitive applications by bringing computing and networking resources closer to vehicles. However, existing approaches often overlook network contention among co-located services with heterogeneous and dynamic latency requirements. While time-sensitive networking (TSN) pro...

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

Preprint Aug 2026

Agentic Quantum Deep Reinforcement Learning for RAN Slicing

Simulation results under different eMBB traffic loads show that Agentic-QDRL improves eMBB throughput, reduces eMBB queue buildup, and maintains URLLC delay reliability compared with classical DRL and heuristic baselines.

Ting-Nan Bao, Medhat H. M. Elsayed, Pedro Enrique Iturria-Rivera et al. · 0 citations

Preprint Aug 2026

Multi-Agent Reinforcement Learning for Online Traffic Scheduling in Time-Sensitive Application

This paper proposes a multi-agent reinforcement learning (MARL) framework for TSN scheduling, where each TSN queue is modeled as an autonomous agent and the Heterogeneous-Agent Proximal Policy Optimization (HAPPO) algorithm is employed to explicitly model inter-agent dependencies and jointly optimize service delivery a...

Marcos Carvalho, Fatih Temiz, Shavbo Salehi et al. · 0 citations