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Resource Management in Wireless Networks via Multi-Agent Deep Reinforcement Learning
International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2020
14 February 2020
Navid Naderializadeh
J. Sydir
M. Simsek
Hosein Nikopour
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Papers citing
"Resource Management in Wireless Networks via Multi-Agent Deep Reinforcement Learning"
29 / 29 papers shown
Task Specific Sharpness Aware O-RAN Resource Management using Multi Agent Reinforcement Learning
IEEE Transactions on Machine Learning in Communications and Networking (IEEE TMLCN), 2025
Fatemeh Lotfi
Hossein Rajoli
Fatemeh Afghah
148
0
0
19 Nov 2025
Causal Model-Based Reinforcement Learning for Sample-Efficient IoT Channel Access
Aswin Arun
Christo Kurisummoottil Thomas
Rimalpudi Sarvendranath
Walid Saad
304
0
0
13 Nov 2025
Bayesian Ego-graph Inference for Networked Multi-Agent Reinforcement Learning
Wei Duan
Jie Lu
Junyu Xuan
284
3
0
20 Sep 2025
Prompt-Tuned LLM-Augmented DRL for Dynamic O-RAN Network Slicing
Fatemeh Lotfi
Hossein Rajoli
Fatemeh Afghah
367
7
0
31 May 2025
Adaptive AI-based Decentralized Resource Management in the Cloud-Edge Continuum
International Euromicro Conference on Parallel, Distributed and Network-Based Processing (PDP), 2025
Lanpei Li
Jack Bell
M. Coppola
Vincenzo Lomonaco
223
6
0
27 Jan 2025
An Offline Multi-Agent Reinforcement Learning Framework for Radio Resource Management
IEEE Transactions on Mobile Computing (IEEE TMC), 2025
Eslam Eldeeb
Hirley Alves
OffRL
421
5
0
22 Jan 2025
Average Reward Reinforcement Learning for Wireless Radio Resource Management
Asilomar Conference on Signals, Systems and Computers (ACSSC), 2024
Kun Yang
Jing Yang
Cong Shen
293
3
0
12 Jan 2025
Offline and Distributional Reinforcement Learning for Radio Resource Management
Eslam Eldeeb
Hirley Alves
OffRL
300
4
0
25 Sep 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
348
41
0
05 Jul 2024
Transferable Graphical MARL for Real-Time Estimation in Dynamic Wireless Networks
Xingran Chen
Navid Naderializadeh
Alejandro Ribeiro
Shirin Saeedi Bidokhti
1.0K
0
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
319
10
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
298
48
0
18 Dec 2023
Advancing RAN Slicing with Offline Reinforcement Learning
International Symposium on Dynamic Spectrum Access Networks (DySPAN), 2023
Kun Yang
Shu-ping Yeh
Menglei Zhang
J. Sydir
Jing Yang
Cong Shen
OffRL
253
10
0
16 Dec 2023
Multi-Agent Reinforcement Learning: Methods, Applications, Visionary Prospects, and Challenges
IEEE Transactions on Intelligent Vehicles (TIV), 2023
Ziyuan Zhou
Guanjun Liu
Ying-Si Tang
342
39
0
17 May 2023
Intelligent Load Balancing and Resource Allocation in O-RAN: A Multi-Agent Multi-Armed Bandit Approach
IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), 2023
Chia-Hsiang Lai
Li-Hsiang Shen
Kai-Ten Feng
259
9
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
287
1
0
28 Oct 2022
State-Augmented Learnable Algorithms for Resource Management in Wireless Networks
IEEE Transactions on Signal Processing (IEEE Trans. Signal Process.), 2022
Navid Naderializadeh
Mark Eisen
Alejandro Ribeiro
295
32
0
05 Jul 2022
Learning Resilient Radio Resource Management Policies with Graph Neural Networks
IEEE Transactions on Signal Processing (IEEE Trans. Signal Process.), 2022
Navid Naderializadeh
Mark Eisen
Alejandro Ribeiro
504
43
0
07 Mar 2022
Cellular Network Capacity and Coverage Enhancement with MDT Data and Deep Reinforcement Learning
Computer Communications (Comput. Commun.), 2022
Marco Skocaj
Lorenzo Mario Amorosa
G. Ghinamo
Giuliano Muratore
Davide Micheli
F. Zabini
Roberto Verdone
142
23
0
22 Feb 2022
ColO-RAN: Developing Machine Learning-based xApps for Open RAN Closed-loop Control on Programmable Experimental Platforms
IEEE Transactions on Mobile Computing (IEEE TMC), 2021
Michele Polese
Leonardo Bonati
Salvatore D’oro
S. Basagni
Tommaso Melodia
305
207
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
171
6
0
17 Oct 2021
Distributed Proximal Policy Optimization for Contention-Based Spectrum Access
Akash S. Doshi
J. Andrews
178
6
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
208
36
0
05 Oct 2021
Wireless Link Scheduling via Graph Representation Learning: A Comparative Study of Different Supervision Levels
Navid Naderializadeh
306
6
0
04 Oct 2021
Unsupervised Learning for Asynchronous Resource Allocation in Ad-hoc Wireless Networks
Zhiyang Wang
Mark Eisen
Alejandro Ribeiro
218
21
0
05 Nov 2020
Contrastive Self-Supervised Learning for Wireless Power Control
Navid Naderializadeh
SSL
287
8
0
22 Oct 2020
Graph Convolutional Value Decomposition in Multi-Agent Reinforcement Learning
Navid Naderializadeh
Fan Hung
S. Soleyman
D. Khosla
285
39
0
09 Oct 2020
Wireless Power Control via Counterfactual Optimization of Graph Neural Networks
International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2020
Navid Naderializadeh
Mark Eisen
Alejandro Ribeiro
243
28
0
17 Feb 2020
Model-Free Learning of Optimal Ergodic Policies in Wireless Systems
IEEE Transactions on Signal Processing (IEEE Trans. Signal Process.), 2019
Dionysios S. Kalogerias
Mark Eisen
George J. Pappas
Alejandro Ribeiro
289
17
0
10 Nov 2019
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