activity
20232026
most citedLLM-based Multi-Agent Reinforcement Learning: Current and Future Directions

12 citations · 13 across the 4 of their papers we have counts for

collaborators

7 papers

cs.AI2026

X-RIC: An Agentic RAN-Intelligent Controller Benchmark for Enhancing Reinforcement Learning

Adhwaa Al-Chaab, Ayman Younis, Dario Pompili

The O-RAN ALLIANCE introduces architectural flexibility through disaggregation and AI-driven control. While the RAN Intelligent Controller (RIC) enables centralized optimization, c…

hep-ph2026

Effects of quadratic frequency chirping and carrier-envelope phase on Schwinger pair production in polarized electric fields

Abhinav Jangir

We investigate electron-positron pair production in spatially homogeneous, time-dependent polarized electric fields using the Dirac-Heisenberg-Wigner formalism, focusing on the eff…

cs.NI2026

CoMeT-Net: Consensus Memory Template Network for Real-time Traffic Anomaly Detection

Tingcong Jiang, Adhwaa Alchaab, Ayman Younis +1

Real-time anomaly detection in Open Radio Access Networks (O-RAN) demands high accuracy, low false alarms, and computational efficiency for resource-constrained edge deployment. Tr…

cs.CR2025

Demo: Secure Edge Server for Network Slicing and Resource Allocation in Open RAN

Adhwaa Alchaab, Ayman Younis, Dario Pompili

Next-Generation Radio Access Networks (NGRAN) aim to support diverse vertical applications with strict security, latency, and Service-Level Agreement (SLA) requirements. These dema…

cs.RO2024

Retrieval-Augmented Hierarchical in-Context Reinforcement Learning and Hindsight Modular Reflections for Task Planning with LLMs

Chuanneng Sun, Songjun Huang, Dario Pompili

Large Language Models (LLMs) have demonstrated remarkable abilities in various language tasks, making them promising candidates for decision-making in robotics. Inspired by Hierarc…

cs.MA2024★ 12 cited

LLM-based Multi-Agent Reinforcement Learning: Current and Future Directions

Chuanneng Sun, Songjun Huang, Dario Pompili

In recent years, Large Language Models (LLMs) have shown great abilities in various tasks, including question answering, arithmetic problem solving, and poem writing, among others.…

cs.NI2023★ 1 cited

Cascade Reinforcement Learning with State Space Factorization for O-RAN-based Traffic Steering

Chuanneng Sun, Gueyoung Jung, Tuyen Xuan Tran +1

The Open Radio Access Network (O-RAN) architecture empowers intelligent and automated optimization of the RAN through applications deployed on the RAN Intelligent Controller (RIC)…