Experience-driven Networking: A Deep Reinforcement Learning based Approach

17 January 2018

Papers citing "Experience-driven Networking: A Deep Reinforcement Learning based Approach"

28 / 28 papers shown

Title
Reinforcement Learning Discovers Efficient Decentralized Graph Path Search Strategies Alexei Pisacane Victor-Alexandru Darvariu Mirco Musolesi 25 0 0 12 Sep 2024
Graph Reinforcement Learning for Combinatorial Optimization: A Survey and Unifying Perspective Victor-Alexandru Darvariu Stephen Hailes Mirco Musolesi AI4CE 53 6 0 09 Apr 2024
Learning State-Augmented Policies for Information Routing in Communication Networks Sourajit Das Navid Naderializadeh Alejandro Ribeiro 33 2 0 30 Sep 2023
Policy Finetuning in Reinforcement Learning via Design of Experiments using Offline Data Ruiqi Zhang Andrea Zanette OffRL OnRL 42 7 0 10 Jul 2023
Inter-Cell Network Slicing With Transfer Learning Empowered Multi-Agent Deep Reinforcement Learning Tianlun Hu Qi Liao Li-Yu Daisy Liu Georg Carle 27 3 0 20 Jun 2023
Spectrum-aware Multi-hop Task Routing in Vehicle-assisted Collaborative Edge Computing Yiqin Deng Haixia Zhang Xianhao Chen Yuguang Fang 21 2 0 14 Apr 2023
MAGNNETO: A Graph Neural Network-based Multi-Agent system for Traffic Engineering Guillermo Bernárdez José Suárez-Varela Albert Lopez Xiang Shi Shihan Xiao Xiangle Cheng Pere Barlet-Ros A. Cabellos-Aparicio 38 24 0 31 Mar 2023
RouteNet-Fermi: Network Modeling with Graph Neural Networks Miquel Ferriol Galmés Jordi Paillissé José Suárez-Varela Krzysztof Rusek Shihan Xiao Xiang Shi Xiangle Cheng Pere Barlet-Ros A. Cabellos-Aparicio GNN MoE 42 44 0 22 Dec 2022
Teal: Learning-Accelerated Optimization of WAN Traffic Engineering Zhiying Xu Francis Y. Yan Rachee Singh Justin T. Chiu Alexander M. Rush Minlan Yu 23 44 0 25 Oct 2022
RouteNet-Erlang: A Graph Neural Network for Network Performance Evaluation Miquel Ferriol Galmés Krzysztof Rusek José Suárez-Varela Shihan Xiao Xiangle Cheng Pere Barlet-Ros A. Cabellos-Aparicio GNN MoE 30 38 0 28 Feb 2022
Sample-Efficient Reinforcement Learning with loglog(T) Switching Cost Dan Qiao Ming Yin Ming Min Yu Wang 43 28 0 13 Feb 2022
MAMRL: Exploiting Multi-agent Meta Reinforcement Learning in WAN Traffic Engineering Shan Sun M. Kiran Wei Ren 38 2 0 30 Nov 2021
ENERO: Efficient Real-Time WAN Routing Optimization with Deep Reinforcement Learning Paul Almasan Shihan Xiao Xiangle Cheng Xiang Shi Pere Barlet-Ros A. Cabellos-Aparicio 29 19 0 22 Sep 2021
Is Machine Learning Ready for Traffic Engineering Optimization? Guillermo Bernárdez José Suárez-Varela Albert Lopez Bo-Xi Wu Shihan Xiao Xiangle Cheng Pere Barlet-Ros A. Cabellos-Aparicio 42 47 0 03 Sep 2021
Federated Reinforcement Learning: Techniques, Applications, and Open Challenges Jiaju Qi Qihao Zhou Lei Lei Kan Zheng FedML 31 146 0 26 Aug 2021
A Reinforcement Learning Approach for Scheduling in mmWave Networks M. Dogan Yahya H. Ezzeldin Christina Fragouli Addison W. Bohannon 22 10 0 01 Aug 2021
The Graph Neural Networking Challenge: A Worldwide Competition for Education in AI/ML for Networks J. Suárez-Varela Miquel Ferriol Galmés Albert Lopez Paul Almasan Guillermo Bernárdez ... H. Wissing Bo-Xi Wu Shihan Xiao Pere Barlet-Ros A. Cabellos-Aparicio 37 17 0 26 Jul 2021
Escaping from Zero Gradient: Revisiting Action-Constrained Reinforcement Learning via Frank-Wolfe Policy Optimization Jyun-Li Lin Wei-Ting Hung Shangtong Yang Ping-Chun Hsieh Xi Liu 40 14 0 22 Feb 2021
Relational Deep Reinforcement Learning for Routing in Wireless Networks Victoria Manfredi Alicia P. Wolfe Bing Wang X. Zhang 18 8 0 31 Dec 2020
Applying Graph-based Deep Learning To Realistic Network Scenarios Miquel Ferriol Galmés J. Suárez-Varela Pere Barlet-Ros A. Cabellos-Aparicio GNN 18 9 0 13 Oct 2020
DeepSlicing: Deep Reinforcement Learning Assisted Resource Allocation for Network Slicing Qiang Liu T. Han Ning Zhang Ye Wang 18 38 0 17 Aug 2020
CFR-RL: Traffic Engineering with Reinforcement Learning in SDN Member Ieee Junjie Zhang Minghao Ye Senior Member Ieee Zehua Guo Chen-Yu Yen F. I. H. Jonathan Chao 11 135 0 24 Apr 2020
Deep Reinforcement Learning meets Graph Neural Networks: exploring a routing optimization use case Paul Almasan J. Suárez-Varela Krzysztof Rusek Pere Barlet-Ros A. Cabellos-Aparicio GNN AI4CE 61 186 0 16 Oct 2019
RouteNet: Leveraging Graph Neural Networks for network modeling and optimization in SDN Maik Ender Pawel Swierczynski Paul Almasan Paul Martin Knopp A. Cabellos-Aparicio GNN 25 242 0 03 Oct 2019
DL2: A Deep Learning-driven Scheduler for Deep Learning Clusters Size Zheng Yixin Bao Yangrui Chen Chuan Wu Chen Meng Wei Lin 21 79 0 13 Sep 2019
DeepRMSA: A Deep Reinforcement Learning Framework for Routing, Modulation and Spectrum Assignment in Elastic Optical Networks Xiaoliang Chen Baojia Li R. Proietti Hongbo Lu Zuqing Zhu S. Yoo 19 164 0 06 May 2019
Applications of Deep Reinforcement Learning in Communications and Networking: A Survey Nguyen Cong Luong D. Hoang Shimin Gong Dusit Niyato Ping Wang Ying-Chang Liang Dong In Kim OffRL 57 1,424 0 18 Oct 2018
Deep Learning in Mobile and Wireless Networking: A Survey Chaoyun Zhang P. Patras Hamed Haddadi 50 1,306 0 12 Mar 2018