Fully Decentralized Multi-Agent Reinforcement Learning with Networked Agents

23 February 2018

Tong Zhang

Papers citing "Fully Decentralized Multi-Agent Reinforcement Learning with Networked Agents"

50 / 76 papers shown

Title
Exploiting inter-agent coupling information for efficient reinforcement learning of cooperative LQR Shahbaz P Qadri Syed He Bai 36 0 0 29 Apr 2025
MARFT: Multi-Agent Reinforcement Fine-Tuning Junwei Liao Muning Wen J. Wang W. Zhang OffRL 31 0 0 21 Apr 2025
An Efficient Approach for Cooperative Multi-Agent Learning Problems Ángel Aso-Mollar Eva Onaindia 21 0 0 07 Apr 2025
Task Offloading in Vehicular Edge Computing using Deep Reinforcement Learning: A Survey Ashab Uddin Ahmed Hamdi Sakr Ning Zhang OffRL 52 0 0 10 Feb 2025
Distributed Policy Gradient for Linear Quadratic Networked Control with Limited Communication Range Yuzi Yan Yuan-Chung Shen 26 0 0 05 Mar 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 18 10 0 18 Dec 2023
Multi-agent Reinforcement Learning: A Comprehensive Survey Dom Huh Prasant Mohapatra AI4CE 28 8 0 15 Dec 2023
Influence of Team Interactions on Multi-Robot Cooperation: A Relational Network Perspective Yasin Findik Hamid Osooli Paul Robinette Kshitij Jerath S. Ahmadzadeh 30 5 0 19 Oct 2023
FoX: Formation-aware exploration in multi-agent reinforcement learning Yonghyeon Jo Sunwoo Lee Junghyuk Yum Seungyul Han 27 5 0 22 Aug 2023
MARLIM: Multi-Agent Reinforcement Learning for Inventory Management Rémi Leluc Elie Kadoche A. Bertoncello Sébastien Gourvénec 19 2 0 03 Aug 2023
Multi-Player Zero-Sum Markov Games with Networked Separable Interactions Chanwoo Park K. Zhang Asuman Ozdaglar 28 8 0 13 Jul 2023
Networked Communication for Decentralised Agents in Mean-Field Games Patrick Benjamin Alessandro Abate FedML 38 2 0 05 Jun 2023
Policy Learning based on Deep Koopman Representation Wenjian Hao Paulo Heredia Bowen Huang Zehui Lu Zihao Liang Shaoshuai Mou 29 1 0 24 May 2023
Multi-Agent Reinforcement Learning for Network Routing in Integrated Access Backhaul Networks Shahaf Yamin H. Permuter 13 3 0 12 May 2023
An Algorithm For Adversary Aware Decentralized Networked MARL Soumajyoti Sarkar AAML 11 1 0 09 May 2023
Best Possible Q-Learning Jiechuan Jiang Zongqing Lu OffRL 20 5 0 02 Feb 2023
Distributed Optimization Methods for Multi-Robot Systems: Part II -- A Survey O. Shorinwa Trevor Halsted Javier Yu Mac Schwager 16 18 0 26 Jan 2023
Multi-Agent Congestion Cost Minimization With Linear Function Approximations Prashant Trivedi N. Hemachandra 27 0 0 26 Jan 2023
SoK: Adversarial Machine Learning Attacks and Defences in Multi-Agent Reinforcement Learning Maxwell Standen Junae Kim Claudia Szabo AAML 29 5 0 11 Jan 2023
Multi-Agent Reinforcement Learning with Shared Resources for Inventory Management Yuandong Ding Ming Feng Guozi Liu Wei Jiang Chuheng Zhang Li Zhao Lei Song Houqiang Li Yan Jin Jiang Bian 27 16 0 15 Dec 2022
Scalable and Sample Efficient Distributed Policy Gradient Algorithms in Multi-Agent Networked Systems Xin Liu Honghao Wei Lei Ying 20 6 0 13 Dec 2022
MSRL: Distributed Reinforcement Learning with Dataflow Fragments Huanzhou Zhu Bo Zhao Gang Chen Weifeng Chen Yijie Chen Liang Shi Yaodong Yang Peter R. Pietzuch Lei Chen OffRL MoE 11 6 0 03 Oct 2022
MA2QL: A Minimalist Approach to Fully Decentralized Multi-Agent Reinforcement Learning Kefan Su Siyuan Zhou Jiechuan Jiang Chuang Gan Xiangjun Wang Zongqing Lu OffRL 28 6 0 17 Sep 2022
Heterogeneous-Agent Mirror Learning: A Continuum of Solutions to Cooperative MARL J. Kuba Xidong Feng Shiyao Ding Hao Dong Jun Wang Yaodong Yang 18 16 0 02 Aug 2022
Cooperative Actor-Critic via TD Error Aggregation Martin Figura Yixuan Lin Ji Liu V. Gupta 21 1 0 25 Jul 2022
Scalable Model-based Policy Optimization for Decentralized Networked Systems Yali Du Chengdong Ma Yuchen Liu Runji Lin Hao Dong Jun Wang Yaodong Yang 18 8 0 13 Jul 2022
NVIF: Neighboring Variational Information Flow for Large-Scale Cooperative Multi-Agent Scenarios Jiajun Chai Yuanheng Zhu Dongbin Zhao 18 0 0 03 Jul 2022
Convergence and Price of Anarchy Guarantees of the Softmax Policy Gradient in Markov Potential Games Dingyang Chen Qi Zhang Thinh T. Doan 15 12 0 15 Jun 2022
Graph Convolutional Reinforcement Learning for Collaborative Queuing Agents Hassan Fawaz Julien Lesca Pham Tran Anh Quang Jérémie Leguay D. Zeghlache P. Medagliani GNN AI4CE 16 4 0 24 May 2022
Distributed Cooperative Multi-Agent Reinforcement Learning with Directed Coordination Graph Gangshan Jing H. Bai Jemin George A. Chakrabortty P. Sharma OffRL 18 6 0 10 Jan 2022
Federated Reinforcement Learning at the Edge Konstantinos Gatsis FedML 19 5 0 11 Dec 2021
Real-world challenges for multi-agent reinforcement learning in grid-interactive buildings Kingsley Nweye Bo Liu Peter Stone Zoltán Nagy OffRL AI4CE 31 37 0 25 Nov 2021
Finite-Time Error Bounds for Distributed Linear Stochastic Approximation Yixuan Lin V. Gupta Ji Liu 16 3 0 24 Nov 2021
Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and Applications Khaled B. Letaief Yuanming Shi Jianmin Lu Jianhua Lu 32 416 0 24 Nov 2021
Causal Multi-Agent Reinforcement Learning: Review and Open Problems St John Grimbly Jonathan P. Shock Arnu Pretorius 44 17 0 12 Nov 2021
Convergence Rates of Average-Reward Multi-agent Reinforcement Learning via Randomized Linear Programming Alec Koppel Amrit Singh Bedi Bhargav Ganguly Vaneet Aggarwal 24 4 0 22 Oct 2021
On Improving Model-Free Algorithms for Decentralized Multi-Agent Reinforcement Learning Weichao Mao Lin F. Yang K. Zhang Tamer Bacsar 25 57 0 12 Oct 2021
Deep Reinforcement Learning Versus Evolution Strategies: A Comparative Survey Amjad Yousef Majid Serge Saaybi Tomas van Rietbergen Vincent François-Lavet R. V. Prasad Chris Verhoeven OffRL 52 54 0 28 Sep 2021
Dimension-Free Rates for Natural Policy Gradient in Multi-Agent Reinforcement Learning Carlo Alfano Patrick Rebeschini 32 5 0 23 Sep 2021
DiNNO: Distributed Neural Network Optimization for Multi-Robot Collaborative Learning Javier Yu Joseph A. Vincent Mac Schwager 38 35 0 17 Sep 2021
Sample and Communication-Efficient Decentralized Actor-Critic Algorithms with Finite-Time Analysis Ziyi Chen Yi Zhou Rongrong Chen Shaofeng Zou 13 24 0 08 Sep 2021
Soft Hierarchical Graph Recurrent Networks for Many-Agent Partially Observable Environments Zhenhui Ye Xiaohong Jiang Guang-hua Song Bowei Yang 17 1 0 05 Sep 2021
Settling the Variance of Multi-Agent Policy Gradients J. Kuba Muning Wen Yaodong Yang Linghui Meng Shangding Gu Haifeng Zhang D. Mguni Jun Wang 16 58 0 19 Aug 2021
Mean-Field Multi-Agent Reinforcement Learning: A Decentralized Network Approach Haotian Gu Xin Guo Xiaoli Wei Renyuan Xu OOD 27 36 0 05 Aug 2021
Adaptive Stochastic ADMM for Decentralized Reinforcement Learning in Edge Industrial IoT Wanlu Lei Yu Ye Ming Xiao Mikael Skoglund Zhu Han 11 1 0 30 Jun 2021
Gradient play in stochastic games: stationary points, convergence, and sample complexity Runyu Zhang Zhaolin Ren Na Li 20 43 0 01 Jun 2021
Programming and Deployment of Autonomous Swarms using Multi-Agent Reinforcement Learning Jayson G. Boubin Codi Burley Peida Han Bowen Li Barry Porter Christopher Stewart 15 3 0 21 May 2021
Model-based Multi-agent Policy Optimization with Adaptive Opponent-wise Rollouts Weinan Zhang Xihuai Wang Jian Shen Ming Zhou 19 35 0 07 May 2021
Pervasive AI for IoT applications: A Survey on Resource-efficient Distributed Artificial Intelligence Emna Baccour N. Mhaisen A. Abdellatif A. Erbad Amr M. Mohamed Mounir Hamdi Mohsen Guizani 26 86 0 04 May 2021
Adversarial attacks in consensus-based multi-agent reinforcement learning Martin Figura K. Kosaraju V. Gupta AAML 13 28 0 11 Mar 2021