Resource Management in Wireless Networks via Multi-Agent Deep Reinforcement Learning

14 February 2020

Papers citing "Resource Management in Wireless Networks via Multi-Agent Deep Reinforcement Learning"

33 / 33 papers shown

Title
Multi-Agent Reinforcement Learning for Resources Allocation Optimization: A Survey Mohamad Abdul Hady Siyi Hu Mahardhika Pratama Jimmy Cao Ryszard Kowalczyk 24 0 0 29 Apr 2025
PF3Det: A Prompted Foundation Feature Assisted Visual LiDAR 3D Detector Kaidong Li Tianxiao Zhang Kuan-Chuan Peng G. Wang 3DPC 36 0 0 04 Apr 2025
Adaptive AI-based Decentralized Resource Management in the Cloud-Edge Continuum Lanpei Li Jack Bell M. Coppola Vincenzo Lomonaco 26 0 0 28 Jan 2025
An Offline Multi-Agent Reinforcement Learning Framework for Radio Resource Management Eslam Eldeeb Hirley Alves OffRL 75 0 0 22 Jan 2025
Average Reward Reinforcement Learning for Wireless Radio Resource Management Kun Yang Jing Yang Cong Shen 46 1 0 12 Jan 2025
Large Vision Model-Enhanced Digital Twin with Deep Reinforcement Learning for User Association and Load Balancing in Dynamic Wireless Networks Zhenyu Tao Wei Xu Xiaohu You 32 1 0 10 Oct 2024
Offline and Distributional Reinforcement Learning for Radio Resource Management Eslam Eldeeb Hirley Alves OffRL 33 2 0 25 Sep 2024
Deep Index Policy for Multi-Resource Restless Matching Bandit and Its Application in Multi-Channel Scheduling Nida Zamir I-Hong Hou 24 0 0 13 Aug 2024
Map2Traj: Street Map Piloted Zero-shot Trajectory Generation with Diffusion Model Zhenyu Tao Wei Xu Xiaohu You 26 0 0 29 Jul 2024
Leveraging Large Language Models for Integrated Satellite-Aerial-Terrestrial Networks: Recent Advances and Future Directions Shumaila Javaid R. A. Khalil Nasir Saeed Bin He Mohamed-Slim Alouini 34 9 0 05 Jul 2024
Decentralized Learning Strategies for Estimation Error Minimization with Graph Neural Networks Xingran Chen Navid Naderializadeh Alejandro Ribeiro Shirin Saeedi Bidokhti 84 1 0 04 Apr 2024
Conservative and Risk-Aware Offline Multi-Agent Reinforcement Learning for Digital Twins Eslam Eldeeb Houssem Sifaou Osvaldo Simeone M. Shehab Hirley Alves OffRL 40 3 0 13 Feb 2024
Multi-Agent Reinforcement Learning for Connected and Automated Vehicles Control: Recent Advancements and Future Prospects Min Hua Dong Chen Xinda Qi Kun Jiang Z. Liu Quan Zhou Hongming Xu 18 10 0 18 Dec 2023
Advancing RAN Slicing with Offline Reinforcement Learning Kun Yang Shu-ping Yeh Menglei Zhang J. Sydir Jing Yang Cong Shen OffRL 20 4 0 16 Dec 2023
Age-Based Scheduling for Mobile Edge Computing: A Deep Reinforcement Learning Approach Xingqiu He Chaoqun You Tony Q. S. Quek 14 8 0 01 Dec 2023
Offline Reinforcement Learning for Wireless Network Optimization with Mixture Datasets Kun Yang Cong Shen Jing Yang Shu-ping Yeh J. Sydir OffRL 19 11 0 19 Nov 2023
Kindness in Multi-Agent Reinforcement Learning Farinaz Alamiyan Harandi Mersad Hassanjani Pouria Ramazi 16 0 0 06 Nov 2023
Multi-Agent Reinforcement Learning: Methods, Applications, Visionary Prospects, and Challenges Ziyuan Zhou Guanjun Liu Ying-Si Tang 33 14 0 17 May 2023
Intelligent Load Balancing and Resource Allocation in O-RAN: A Multi-Agent Multi-Armed Bandit Approach Chia-Hsiang Lai Li-Hsiang Shen Kai-Ten Feng 14 6 0 25 Mar 2023
A State-Augmented Approach for Learning Optimal Resource Management Decisions in Wireless Networks Yiugit Berkay Uslu Navid Naderializadeh Mark Eisen Alejandro Riberio University of Pennsylvania 29 0 0 28 Oct 2022
State-Augmented Learnable Algorithms for Resource Management in Wireless Networks Navid Naderializadeh Mark Eisen Alejandro Ribeiro 24 16 0 05 Jul 2022
Learning Resilient Radio Resource Management Policies with Graph Neural Networks Navid Naderializadeh Mark Eisen Alejandro Ribeiro 16 26 0 07 Mar 2022
Cellular Network Capacity and Coverage Enhancement with MDT Data and Deep Reinforcement Learning Marco Skocaj Lorenzo Mario Amorosa G. Ghinamo Giuliano Muratore Davide Micheli F. Zabini Roberto Verdone 11 13 0 22 Feb 2022
ColO-RAN: Developing Machine Learning-based xApps for Open RAN Closed-loop Control on Programmable Experimental Platforms Michele Polese Leonardo Bonati Salvatore D’oro S. Basagni Tommaso Melodia 13 147 0 17 Dec 2021
A Q-Learning-based Approach for Distributed Beam Scheduling in mmWave Networks Xiang Zhang Shamik Sarkar Arupjyoti Bhuyan S. Kasera Mingyue Ji 16 4 0 17 Oct 2021
Distributed Proximal Policy Optimization for Contention-Based Spectrum Access Akash S. Doshi J. Andrews 9 3 0 07 Oct 2021
A Deep Reinforcement Learning Framework for Contention-Based Spectrum Sharing Akash S. Doshi S. Yerramalli Lorenzo Ferrari Taesang Yoo J. Andrews 27 32 0 05 Oct 2021
Wireless Link Scheduling via Graph Representation Learning: A Comparative Study of Different Supervision Levels Navid Naderializadeh 36 3 0 04 Oct 2021
Unsupervised Learning for Asynchronous Resource Allocation in Ad-hoc Wireless Networks Zhiyang Wang Mark Eisen Alejandro Ribeiro 8 18 0 05 Nov 2020
Contrastive Self-Supervised Learning for Wireless Power Control Navid Naderializadeh SSL 14 6 0 22 Oct 2020
Graph Convolutional Value Decomposition in Multi-Agent Reinforcement Learning Navid Naderializadeh Fan Hung S. Soleyman D. Khosla 6 27 0 09 Oct 2020
Wireless Power Control via Counterfactual Optimization of Graph Neural Networks Navid Naderializadeh Mark Eisen Alejandro Ribeiro 12 23 0 17 Feb 2020
Model-Free Learning of Optimal Ergodic Policies in Wireless Systems Dionysios S. Kalogerias Mark Eisen George J. Pappas Alejandro Ribeiro 13 13 0 10 Nov 2019