Federated Control with Hierarchical Multi-Agent Deep Reinforcement
Learning

Federated Control with Hierarchical Multi-Agent Deep Reinforcement Learning

22 December 2017

Dilek Z. Hakkani-Tür

ArXiv (abs)PDF HTML

Papers citing "Federated Control with Hierarchical Multi-Agent Deep Reinforcement Learning"

17 / 17 papers shown

Title
Combining Federated Learning and Control: A Survey Jakob Weber Markus Gurtner A. Lobe Adrian Trachte Andreas Kugi FedML AI4CE 284 7 0 12 Jul 2024
Federated Prompt-based Decision Transformer for Customized VR Services in Mobile Edge Computing System Tailin Zhou Jiadong Yu Jun Zhang Danny H. K. Tsang 118 1 0 15 Feb 2024
Federated Learning and Meta Learning: Approaches, Applications, and DirectionsIEEE Communications Surveys and Tutorials (COMST), 2022 Xiaonan Liu Yansha Deng Arumugam Nallanathan M. Bennis 317 59 0 24 Oct 2022
Federated Deep Reinforcement Learning for the Distributed Control of NextG Wireless NetworksInternational Symposium on Dynamic Spectrum Access Networks (DySPAN), 2021 Peyman Tehrani Francesco Restuccia Marco Levorato OffRL 133 37 0 07 Dec 2021
Model-based Reinforcement Learning for Service Mesh Fault Resiliency in a Web Application-levelApplied and Computational Engineering (ACE), 2021 Fanfei Meng L. Jagadeesan M. Thottan AI4CE 87 14 0 21 Oct 2021
Multi-Task Federated Reinforcement Learning with Adversaries Aqeel Anwar A. Raychowdhury AAML FedML 95 25 0 11 Mar 2021
HAMMER: Multi-Level Coordination of Reinforcement Learning Agents via Learned Messaging Nikunj Gupta G. Srinivasaraghavan S. Mohalik Nishant Kumar Matthew E. Taylor 162 17 0 18 Jan 2021
Federated Multi-Agent Actor-Critic Learning for Age Sensitive Mobile Edge ComputingIEEE Internet of Things Journal (IEEE IoT J.), 2020 Zheqi Zhu Shuo Wan Pingyi Fan Khaled B. Letaief 410 90 0 28 Dec 2020
mForms : Multimodal Form-Filling with Question AnsweringInternational Conference on Language Resources and Evaluation (LREC), 2020 Larry Heck S. Heck Anirudh S. Sundar 326 7 0 24 Nov 2020
Multi-Agent Reinforcement Learning for Markov Routing Games: A New Modeling Paradigm For Dynamic Traffic AssignmentTransportation Research Part C: Emerging Technologies (Transp. Res. Part C), 2020 Zhenyu Shou Xu Chen Yongjie Fu Xuan Di 198 48 0 22 Nov 2020
AI and Wargaming J. Goodman S. Risi Simon Lucas VLM 286 16 0 18 Sep 2020
AI Research Considerations for Human Existential Safety (ARCHES) Andrew Critch David M. Krueger 169 65 0 30 May 2020
Cluster-Based Social Reinforcement LearningAdaptive Agents and Multi-Agent Systems (AAMAS), 2020 Mahak Goindani Jennifer Neville GNN OffRL 117 5 0 02 Mar 2020
Feudal Multi-Agent Hierarchies for Cooperative Reinforcement Learning S. Ahilan Peter Dayan 148 82 0 24 Jan 2019
Deep Reinforcement Learning for Multi-Agent Systems: A Review of Challenges, Solutions and Applications Thanh Thi Nguyen Ngoc Duy Nguyen S. Nahavandi 278 910 0 31 Dec 2018
Multi-Agent Common Knowledge Reinforcement Learning Christian Schroeder de Witt Jakob N. Foerster Gregory Farquhar Juil Sock Wendelin Bohmer Shimon Whiteson 340 115 0 27 Oct 2018
Hierarchical Deep Multiagent Reinforcement Learning with Temporal Abstraction Hongyao Tang Jianye Hao Tangjie Lv Yingfeng Chen Zongzhang Zhang ... Chunxu Ren Yan Zheng Zhaopeng Meng Changjie Fan Li Wang OffRL 142 24 0 25 Sep 2018