Experienced Deep Reinforcement Learning with Generative Adversarial
Networks (GANs) for Model-Free Ultra Reliable Low Latency Communication

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Experienced Deep Reinforcement Learning with Generative Adversarial Networks (GANs) for Model-Free Ultra Reliable Low Latency Communication

1 November 2019

Ieee Walid Saad Fellow

Ieee Mohammad Mozaffari Member

Ieee H. Vincent Poor Fellow

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Papers citing "Experienced Deep Reinforcement Learning with Generative Adversarial Networks (GANs) for Model-Free Ultra Reliable Low Latency Communication"

18 / 18 papers shown

Title
Generative Diffusion Models for Resource Allocation in Wireless Networks Yigit Berkay Uslu Samar Hadou Shirin Saeedi Bidokhti Alejandro Ribeiro DiffM 54 0 0 28 Apr 2025
Enhancing Spectrum Efficiency in 6G Satellite Networks: A GAIL-Powered Policy Learning via Asynchronous Federated Inverse Reinforcement Learning Sheikh Salman Hassan Yu Min Park Y. Tun Walid Saad Zhu Han Choong Seon Hong 46 0 0 27 Sep 2024
Diffusion Model Based Resource Allocation Strategy in Ultra-Reliable Wireless Networked Control Systems Amirhassan Babazadeh Darabi Sinem Coleri DiffM 60 2 0 22 Jul 2024
Artificial General Intelligence (AGI)-Native Wireless Systems: A Journey Beyond 6G Walid Saad Omar Hashash Christo Kurisummoottil Thomas Christina Chaccour Merouane Debbah N. Mandayam Zhu Han AI4CE 115 27 0 29 Apr 2024
Advancing RAN Slicing with Offline Reinforcement Learning Kun Yang Shu-ping Yeh Menglei Zhang J. Sydir Jing Yang Cong Shen OffRL 56 5 0 16 Dec 2023
Causal Reasoning: Charting a Revolutionary Course for Next-Generation AI-Native Wireless Networks Christo Kurisummoottil Thomas Christina Chaccour Walid Saad Merouane Debbah Choong Seon Hong 66 22 0 23 Sep 2023
Safe and Accelerated Deep Reinforcement Learning-based O-RAN Slicing: A Hybrid Transfer Learning Approach A. M. Nagib H. Abou-zeid Hossam S. Hassanein 70 11 0 13 Sep 2023
Communication-Efficient Orchestrations for URLLC Service via Hierarchical Reinforcement Learning Wei Shi Milad Ganjalizadeh H. S. Ghadikolaei M. Petrova AI4CE 18 2 0 25 Jul 2023
A Multi-Task Approach to Robust Deep Reinforcement Learning for Resource Allocation Steffen Gracla C. Bockelmann Armin Dekorsy 47 3 0 25 Apr 2023
On the Importance of Exploration for Real Life Learned Algorithms Steffen Gracla C. Bockelmann Armin Dekorsy 80 0 0 21 Apr 2023
Robust Deep Reinforcement Learning Scheduling via Weight Anchoring Steffen Gracla Edgar Beck C. Bockelmann Armin Dekorsy OOD 55 3 0 20 Apr 2023
Deep Generative Model and Its Applications in Efficient Wireless Network Management: A Tutorial and Case Study Yinqiu Liu Hongyang Du Dusit Niyato Jiawen Kang Zehui Xiong Dong In Kim Abbas Jamalipour DiffM 82 35 0 30 Mar 2023
Toward Safe and Accelerated Deep Reinforcement Learning for Next-Generation Wireless Networks A. M. Nagib H. Abou-zeid Hossam S. Hassanein 60 11 0 16 Sep 2022
Artificial Intelligence Techniques for Next-Generation Mega Satellite Networks Bassel Al Homssi Kosta Dakic Ke Wang T. Alpcan Ben Allen Russell Boyce S. Kandeepan A. Al-Hourani Walid Saad 91 38 0 02 Jun 2022
Variational Autoencoders for Reliability Optimization in Multi-Access Edge Computing Networks Arian Ahmadi Omid Semiari M. Bennis Merouane Debbah 50 2 0 25 Jan 2022
Towards Federated Learning-Enabled Visible Light Communication in 6G Systems Shimaa A. Naser Lina Bariah Sami Muhaidat Mahmoud Al-Qutayri Ernesto Damiani Merouane Debbah P. C. Sofotasios 77 24 0 07 Oct 2021
A Tutorial on Ultra-Reliable and Low-Latency Communications in 6G: Integrating Domain Knowledge into Deep Learning Changyang She Chengjian Sun Zhouyou Gu Yonghui Li Chenyang Yang H. Vincent Poor Branka Vucetic 80 17 0 13 Sep 2020
Distributed and Democratized Learning: Philosophy and Research Challenges Minh N. H. Nguyen Shashi Raj Pandey K. Thar Nguyen H. Tran Mingzhe Chen Walid Saad Choong Seon Hong 61 14 0 18 Mar 2020