Beyond the Edge: An Advanced Exploration of Reinforcement Learning for Mobile Edge Computing, its Applications, and Future Research Trajectories

22 April 2024

Papers citing "Beyond the Edge: An Advanced Exploration of Reinforcement Learning for Mobile Edge Computing, its Applications, and Future Research Trajectories"

32 / 32 papers shown

Title
Dap-FL: Federated Learning flourishes by adaptive tuning and secure aggregation Qian Chen Zilong Wang Jiawei Chen Haonan Yan Xiaodong Lin FedML 25 17 0 08 Jun 2022
Multi-Agent Distributed Reinforcement Learning for Making Decentralized Offloading Decisions Jing Tan R. Khalili Holger Karl A. Hecker OffRL 29 21 0 05 Apr 2022
Saute RL: Almost Surely Safe Reinforcement Learning Using State Augmentation Aivar Sootla Alexander I. Cowen-Rivers Taher Jafferjee Ziyan Wang D. Mguni Jun Wang Haitham Bou-Ammar 56 54 0 14 Feb 2022
Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and Applications Khaled B. Letaief Yuanming Shi Jianmin Lu Jianhua Lu 73 418 0 24 Nov 2021
Multi-Agent Constrained Policy Optimisation Shangding Gu J. Kuba Munning Wen Ruiqing Chen Ziyan Wang Zheng Tian Jun Wang Alois Knoll Yaodong Yang 113 49 0 06 Oct 2021
Reinforcement Learning for IoT Security: A Comprehensive Survey Aashma Uprety D. Rawat AAML 63 123 0 14 Feb 2021
Domain Adaptation In Reinforcement Learning Via Latent Unified State Representation Jinwei Xing Takashi Nagata Kexin Chen Xinyun Zou Emre Neftci J. Krichmar OOD 36 44 0 10 Feb 2021
CRPO: A New Approach for Safe Reinforcement Learning with Convergence Guarantee Tengyu Xu Yingbin Liang Guanghui Lan 59 123 0 11 Nov 2020
DMRO:A Deep Meta Reinforcement Learning-based Task Offloading Framework for Edge-Cloud Computing Guanjin Qu Huaming Wu OffRL 41 177 0 23 Aug 2020
A Machine Learning Approach for Task and Resource Allocation in Mobile Edge Computing Based Networks Sihua Wang Mingzhe Chen Xuanlin Liu Changchuan Yin Shuguang Cui H. Vincent Poor 32 69 0 20 Jul 2020
Responsive Safety in Reinforcement Learning by PID Lagrangian Methods Adam Stooke Joshua Achiam Pieter Abbeel 49 291 0 08 Jul 2020
Edge Intelligence: The Confluence of Edge Computing and Artificial Intelligence Shuiguang Deng Hailiang Zhao Weijia Fang Yuxiang Cai Schahram Dustdar Albert Y. Zomaya 91 609 0 02 Sep 2019
Edge Intelligence: Paving the Last Mile of Artificial Intelligence with Edge Computing Zhi Zhou Xu Chen En Li Liekang Zeng Ke Luo Junshan Zhang 80 1,434 0 24 May 2019
Graph Neural Networks: A Review of Methods and Applications Jie Zhou Ganqu Cui Shengding Hu Zhengyan Zhang Cheng Yang Zhiyuan Liu Lifeng Wang Changcheng Li Maosong Sun AI4CE GNN 565 5,457 0 20 Dec 2018
Distributive Dynamic Spectrum Access through Deep Reinforcement Learning: A Reservoir Computing Based Approach Hao-Hsuan Chang Hao Song Yuhao Yi Jianzhong Zhang Haibo He Lingjia Liu 19 163 0 28 Oct 2018
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 74 1,430 0 18 Oct 2018
Reinforcement Learning under Threats Víctor Gallego Roi Naveiro D. Insua AAML 36 25 0 05 Sep 2018
Optimized Computation Offloading Performance in Virtual Edge Computing Systems via Deep Reinforcement Learning Xianfu Chen Honggang Zhang Celimuge Wu S. Mao Yusheng Ji Medhi Bennis OffRL 50 483 0 16 May 2018
Model-Based Value Estimation for Efficient Model-Free Reinforcement Learning Vladimir Feinberg Alvin Wan Ion Stoica Michael I. Jordan Joseph E. Gonzalez Sergey Levine OffRL 50 317 0 28 Feb 2018
A Brief Survey of Deep Reinforcement Learning Kai Arulkumaran M. Deisenroth Miles Brundage Anil Anthony Bharath OffRL 96 2,792 0 19 Aug 2017
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 236 18,685 0 20 Jul 2017
Value-Decomposition Networks For Cooperative Multi-Agent Learning P. Sunehag Guy Lever A. Gruslys Wojciech M. Czarnecki V. Zambaldi ... Marc Lanctot Nicolas Sonnerat Joel Z Leibo K. Tuyls T. Graepel 64 997 0 16 Jun 2017
Learning Combinatorial Optimization Algorithms over Graphs H. Dai Elias Boutros Khalil Yuyu Zhang B. Dilkina Le Song 90 1,453 0 05 Apr 2017
Domain Randomization for Transferring Deep Neural Networks from Simulation to the Real World Joshua Tobin Rachel Fong Alex Ray Jonas Schneider Wojciech Zaremba Pieter Abbeel 171 2,948 0 20 Mar 2017
Deep Reinforcement Learning: An Overview Yuxi Li OffRL VLM 139 1,517 0 25 Jan 2017
Learning to reinforcement learn Jane X. Wang Z. Kurth-Nelson Dhruva Tirumala Hubert Soyer Joel Z Leibo Rémi Munos Charles Blundell D. Kumaran M. Botvinick OffRL 73 974 0 17 Nov 2016
Federated Learning: Strategies for Improving Communication Efficiency Jakub Konecný H. B. McMahan Felix X. Yu Peter Richtárik A. Suresh Dave Bacon FedML 269 4,620 0 18 Oct 2016
Learning Multiagent Communication with Backpropagation Sainbayar Sukhbaatar Arthur Szlam Rob Fergus 156 1,139 0 25 May 2016
Asynchronous Methods for Deep Reinforcement Learning Volodymyr Mnih Adria Puigdomenech Badia M. Berk Mirza Alex Graves Timothy Lillicrap Tim Harley David Silver Koray Kavukcuoglu 166 8,805 0 04 Feb 2016
Deep Reinforcement Learning with Double Q-learning H. V. Hasselt A. Guez David Silver OffRL 131 7,590 0 22 Sep 2015
Continuous control with deep reinforcement learning Timothy Lillicrap Jonathan J. Hunt Alexander Pritzel N. Heess Tom Erez Yuval Tassa David Silver Daan Wierstra 193 13,174 0 09 Sep 2015
Pointer Networks Oriol Vinyals Meire Fortunato Navdeep Jaitly 96 3,036 0 09 Jun 2015