v1v2v3v4 (latest)

Value Propagation for Decentralized Networked Deep Multi-agent Reinforcement Learning

27 January 2019

Papers citing "Value Propagation for Decentralized Networked Deep Multi-agent Reinforcement Learning"

22 / 22 papers shown

Title
Multi-Agent Conditional Diffusion Model with Mean Field Communication as Wireless Resource Allocation Planner Kechen Meng Sinuo Zhang Rongpeng Li Xiangming Meng Chan Wang Ming Lei Zhifeng Zhao Zhifeng Zhao DiffM 97 0 0 27 Oct 2025
A Communication-Efficient Decentralized Actor-Critic Algorithm Xiaoxing Ren Nicola Bastianello Thomas Parisini Andreas A. Malikopoulos 52 0 0 22 Oct 2025
Structured Cooperative Multi-Agent Reinforcement Learning: a Bayesian Network Perspective Shahbaz P Qadri Syed He Bai 80 0 0 11 Oct 2025
Privacy-Engineered Value Decomposition Networks for Cooperative Multi-Agent Reinforcement LearningIEEE Conference on Decision and Control (CDC), 2023 Parham Gohari Matthew T. Hale Ufuk Topcu OffRL 183 3 0 13 Sep 2023
Knowing the Past to Predict the Future: Reinforcement Virtual Learning Peng Zhang Yawen Huang Bingzhang Hu Shizheng Wang Haoran Duan Noura Al Moubayed Yefeng Zheng Yang Long OffRL 108 1 0 02 Nov 2022
MSRL: Distributed Reinforcement Learning with Dataflow FragmentsUSENIX Annual Technical Conference (USENIX ATC), 2022 Huanzhou Zhu Bo Zhao Gang Chen Weifeng Chen Yijie Chen Liang Shi Yaodong Yang Peter R. Pietzuch Lei Chen OffRL MoE 174 8 0 03 Oct 2022
Hierarchical Reinforcement Learning with Opponent Modeling for Distributed Multi-agent CooperationIEEE International Conference on Distributed Computing Systems (ICDCS), 2022 Zhixuan Liang Jiannong Cao Shan Jiang Divya Saxena Huafeng Xu 125 11 0 25 Jun 2022
Residual Q-Networks for Value Function Factorizing in Multi-Agent Reinforcement LearningIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022 Rafael Pina V. D. Silva Joosep Hook A. Kondoz 76 19 0 30 May 2022
Learning to Share in Multi-Agent Reinforcement Learning Yuxuan Yi G. Li Yaowei Wang Zongqing Lu 216 17 0 16 Dec 2021
MDPGT: Momentum-based Decentralized Policy Gradient TrackingAAAI Conference on Artificial Intelligence (AAAI), 2021 Zhanhong Jiang Xian Yeow Lee Sin Yong Tan Kai Liang Tan Aditya Balu Young M. Lee Chinmay Hegde Soumik Sarkar 137 10 0 06 Dec 2021
Resilient Consensus-based Multi-agent Reinforcement Learning with Function Approximation Martin Figura Yixuan Lin Ji Liu V. Gupta AAML 139 3 0 12 Nov 2021
DeCOM: Decomposed Policy for Constrained Cooperative Multi-Agent Reinforcement LearningAAAI Conference on Artificial Intelligence (AAAI), 2021 Zhaoxing Yang Rong Ding Haiming Jin Yifei Wei Haoyi You Guiyun Fan Xiaoying Gan Xinbing Wang 139 5 0 10 Nov 2021
Foresight of Graph Reinforcement Learning Latent Permutations Learnt by Gumbel Sinkhorn Network Tianqi Shen Hong Zhang Qishu Wang Jiaping Xiao Yifan Yang AI4CE 102 1 0 23 Oct 2021
Convergence Rates of Average-Reward Multi-agent Reinforcement Learning via Randomized Linear ProgrammingIEEE Conference on Decision and Control (CDC), 2021 Alec Koppel Amrit Singh Bedi Bhargav Ganguly Vaneet Aggarwal 160 4 0 22 Oct 2021
MARL with General Utilities via Decentralized Shadow Reward Actor-Critic Junyu Zhang Amrit Singh Bedi Mengdi Wang Alec Koppel 137 8 0 29 May 2021
Model-based Multi-agent Policy Optimization with Adaptive Opponent-wise RolloutsInternational Joint Conference on Artificial Intelligence (IJCAI), 2021 Weinan Zhang Xihuai Wang Jian Shen Ming Zhou 138 41 0 07 May 2021
Variational Policy Propagation for Multi-agent Reinforcement Learning Chao Qu Hui Li Chang-rui Liu Junwu Xiong James Y. Zhang Wei Chu Weiqiang Wang Yuan Qi L. Song 218 0 0 19 Apr 2020
F2A2: Flexible Fully-decentralized Approximate Actor-critic for Cooperative Multi-agent Reinforcement LearningJournal of machine learning research (JMLR), 2020 Wenhao Li Bo Jin Xiangfeng Wang Junchi Yan H. Zha 318 25 0 17 Apr 2020
Multi-agent Reinforcement Learning for Networked System ControlInternational Conference on Learning Representations (ICLR), 2020 Tianshu Chu Sandeep P. Chinchali Sachin Katti 172 20 0 03 Apr 2020
Fully Asynchronous Policy Evaluation in Distributed Reinforcement Learning over Networks Xingyu Sha Jiaqi Zhang Keyou You Jianchao Tan Tamer Basar OffRL 297 26 0 01 Mar 2020
Optimization for Reinforcement Learning: From Single Agent to Cooperative AgentsIEEE Signal Processing Magazine (IEEE SPM), 2019 Dong-hwan Lee Niao He Parameswaran Kamalaruban Volkan Cevher 125 94 0 01 Dec 2019
Graph Convolutional Reinforcement Learning Jiechuan Jiang Chen Dun Tiejun Huang Zongqing Lu GNN 177 386 0 22 Oct 2018