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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 / 240 papers shown

Title
Cooperative Online Learning in Stochastic and Adversarial MDPs Tal Lancewicki Aviv A. Rosenberg Yishay Mansour 99 3 0 31 Jan 2022
Iterated Reasoning with Mutual Information in Cooperative and Byzantine Decentralized Teaming Sachin Konan Esmaeil Seraj Matthew C. Gombolay LRM 86 27 0 20 Jan 2022
Distributed Cooperative Multi-Agent Reinforcement Learning with Directed Coordination Graph Gangshan Jing H. Bai Jemin George A. Chakrabortty P. Sharma OffRL 69 6 0 10 Jan 2022
3DPG: Distributed Deep Deterministic Policy Gradient Algorithms for Networked Multi-Agent Systems Adrian Redder Arunselvan Ramaswamy Holger Karl OffRL 43 2 0 03 Jan 2022
Learning to Share in Multi-Agent Reinforcement Learning Yuxuan Yi G. Li Yaowei Wang Zongqing Lu 88 13 0 16 Dec 2021
Federated Reinforcement Learning at the Edge Konstantinos Gatsis FedML 68 5 0 11 Dec 2021
MDPGT: Momentum-based Decentralized Policy Gradient Tracking Zhanhong Jiang Xian Yeow Lee Sin Yong Tan Kai Liang Tan Aditya Balu Young M. Lee Chinmay Hegde Soumik Sarkar 85 7 0 06 Dec 2021
Real-world challenges for multi-agent reinforcement learning in grid-interactive buildings Kingsley Nweye Bo Liu Peter Stone Zoltán Nagy OffRL AI4CE 76 38 0 25 Nov 2021
Finite-Time Error Bounds for Distributed Linear Stochastic Approximation Yixuan Lin V. Gupta Ji Liu 100 3 0 24 Nov 2021
Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and Applications Khaled B. Letaief Yuanming Shi Jianmin Lu Jianhua Lu 99 434 0 24 Nov 2021
Resilient Consensus-based Multi-agent Reinforcement Learning with Function Approximation Martin Figura Yixuan Lin Ji Liu V. Gupta AAML 38 3 0 12 Nov 2021
Causal Multi-Agent Reinforcement Learning: Review and Open Problems St John Grimbly Jonathan P. Shock Arnu Pretorius 107 19 0 12 Nov 2021
DeCOM: Decomposed Policy for Constrained Cooperative Multi-Agent Reinforcement Learning Zhaoxing Yang Rong Ding Haiming Jin Yifei Wei Haoyi You Guiyun Fan Xiaoying Gan Xinbing Wang 76 4 0 10 Nov 2021
Decentralized Multi-Agent Reinforcement Learning: An Off-Policy Method Kuo Li Qing-Shan Jia OffRL 18 2 0 31 Oct 2021
V-Learning -- A Simple, Efficient, Decentralized Algorithm for Multiagent RL Chi Jin Qinghua Liu Yuanhao Wang Tiancheng Yu OffRL 93 132 0 27 Oct 2021
A Law of Iterated Logarithm for Multi-Agent Reinforcement Learning Gugan Thoppe Bhumesh Kumar 82 4 0 27 Oct 2021
Fully Distributed Actor-Critic Architecture for Multitask Deep Reinforcement Learning John Harwell Angel Sylvester Aleksi Tukiainen Enrique Munoz de Cote 53 4 0 23 Oct 2021
Foresight of Graph Reinforcement Learning Latent Permutations Learnt by Gumbel Sinkhorn Network Tianqi Shen Hong Zhang Ding Yuan Jiaping Xiao Yifan Yang AI4CE 58 1 0 23 Oct 2021
Convergence Rates of Average-Reward Multi-agent Reinforcement Learning via Randomized Linear Programming Alec Koppel Amrit Singh Bedi Bhargav Ganguly Vaneet Aggarwal 61 4 0 22 Oct 2021
Model-based Reinforcement Learning for Service Mesh Fault Resiliency in a Web Application-level Fanfei Meng L. Jagadeesan M. Thottan AI4CE 27 13 0 21 Oct 2021
Provably Efficient Multi-Agent Reinforcement Learning with Fully Decentralized Communication Justin Lidard Udari Madhushani Naomi Ehrich Leonard OffRL 73 6 0 14 Oct 2021
On Improving Model-Free Algorithms for Decentralized Multi-Agent Reinforcement Learning Weichao Mao Lin F. Yang Kai Zhang Tamer Bacsar 96 57 0 12 Oct 2021
Learning to Coordinate in Multi-Agent Systems: A Coordinated Actor-Critic Algorithm and Finite-Time Guarantees Siliang Zeng Tianyi Chen Alfredo García Mingyi Hong 92 11 0 11 Oct 2021
Decentralized Graph-Based Multi-Agent Reinforcement Learning Using Reward Machines Jueming Hu Zhe Xu Weichang Wang Guannan Qu Yutian Pang Yongming Liu 100 12 0 30 Sep 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 135 60 0 28 Sep 2021
Dimension-Free Rates for Natural Policy Gradient in Multi-Agent Reinforcement Learning Carlo Alfano Patrick Rebeschini 88 5 0 23 Sep 2021
DiNNO: Distributed Neural Network Optimization for Multi-Robot Collaborative Learning Javier Yu Joseph A. Vincent Mac Schwager 136 38 0 17 Sep 2021
DSDF: An approach to handle stochastic agents in collaborative multi-agent reinforcement learning S. K. Perepu Kaushik Dey 29 0 0 14 Sep 2021
Sample and Communication-Efficient Decentralized Actor-Critic Algorithms with Finite-Time Analysis Ziyi Chen Yi Zhou Rongrong Chen Shaofeng Zou 108 25 0 08 Sep 2021
Soft Hierarchical Graph Recurrent Networks for Many-Agent Partially Observable Environments Zhenhui Ye Xiaohong Jiang Guang-hua Song Bowei Yang 35 1 0 05 Sep 2021
Multi-agent Natural Actor-critic Reinforcement Learning Algorithms Prashant Trivedi N. Hemachandra 87 4 0 03 Sep 2021
BotNet: A Simulator for Studying the Effects of Accurate Communication Models on Multi-agent and Swarm Control M. Selden Jason Zhou Felipe Campos Nathan Lambert Daniel S. Drew K. Pister 20 6 0 31 Aug 2021
Federated Reinforcement Learning: Techniques, Applications, and Open Challenges Jiaju Qi Qihao Zhou Lei Lei Kan Zheng FedML 111 160 0 26 Aug 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 79 67 0 19 Aug 2021
Scalable regret for learning to control network-coupled subsystems with unknown dynamics Sagar Sudhakara Aditya Mahajan A. Nayyar Yi Ouyang 66 3 0 18 Aug 2021
Mean-Field Multi-Agent Reinforcement Learning: A Decentralized Network Approach Haotian Gu Xin Guo Xiaoli Wei Renyuan Xu OOD 103 36 0 05 Aug 2021
Survey of Recent Multi-Agent Reinforcement Learning Algorithms Utilizing Centralized Training P. Sharma Rolando Fernandez Erin G. Zaroukian M. Dorothy Anjon Basak Derrik E. Asher 72 42 0 29 Jul 2021
Asynchronous Distributed Reinforcement Learning for LQR Control via Zeroth-Order Block Coordinate Descent Gangshan Jing H. Bai Jemin George A. Chakrabortty P. Sharma 98 9 0 26 Jul 2021
Cluster Consensus on Matrix-weighted Switching Networks Lulu Pan Haibin Shao M. Mesbahi Dewei Li Y. Xi 19 32 0 20 Jul 2021
Provably Efficient Multi-Task Reinforcement Learning with Model Transfer Chicheng Zhang Zhi Wang OffRL 88 19 0 19 Jul 2021
Collaborative Visual Navigation Haiyang Wang Wenguan Wang Xizhou Zhu Jifeng Dai Liwei Wang EgoV 100 20 0 02 Jul 2021
Adaptive Stochastic ADMM for Decentralized Reinforcement Learning in Edge Industrial IoT Wanlu Lei Yu Ye Ming Xiao Mikael Skoglund Zhu Han 45 1 0 30 Jun 2021
Gradient play in stochastic games: stationary points, convergence, and sample complexity Runyu Zhang Tongzheng Ren Na Li 105 44 0 01 Jun 2021
MARL with General Utilities via Decentralized Shadow Reward Actor-Critic Junyu Zhang Amrit Singh Bedi Mengdi Wang Alec Koppel 57 8 0 29 May 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 100 3 0 21 May 2021
Coach-Player Multi-Agent Reinforcement Learning for Dynamic Team Composition Bo Liu Qiang Liu Peter Stone Animesh Garg Yuke Zhu Anima Anandkumar 108 50 0 18 May 2021
Graph Neural Networks for Decentralized Multi-Robot Submodular Action Selection Lifeng Zhou V. Sharma Qingbiao Li Amanda Prorok Alejandro Ribeiro Pratap Tokekar Vijay Kumar 75 25 0 18 May 2021
The Confluence of Networks, Games and Learning Tao Li Guanze Peng Quanyan Zhu Tamer Basar AI4CE 86 47 0 17 May 2021
Model-based Multi-agent Policy Optimization with Adaptive Opponent-wise Rollouts Weinan Zhang Xihuai Wang Jian Shen Ming Zhou 96 36 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 98 94 0 04 May 2021