Value-Decomposition Networks For Cooperative Multi-Agent Learning

16 June 2017

P. Sunehag

Guy Lever

A. Gruslys

Wojciech M. Czarnecki

Papers citing "Value-Decomposition Networks For Cooperative Multi-Agent Learning"

50 / 453 papers shown

Title
Latent Interactive A2C for Improved RL in Open Many-Agent Systems Keyang He Prashant Doshi Bikramjit Banerjee OffRL 28 3 0 09 May 2023
From Explicit Communication to Tacit Cooperation:A Novel Paradigm for Cooperative MARL Dapeng Li Zhiwei Xu Bin Zhang Guoliang Fan 46 7 0 28 Apr 2023
Centralized control for multi-agent RL in a complex Real-Time-Strategy game Roger Creus Castanyer 21 2 0 25 Apr 2023
SEA: A Spatially Explicit Architecture for Multi-Agent Reinforcement Learning Dapeng Li Zhiwei Xu Bin Zhang Guoliang Fan 3DPC 20 2 0 25 Apr 2023
Graph Exploration for Effective Multi-agent Q-Learning Ainur Zhaikhan Ali H. Sayed 37 1 0 19 Apr 2023
Heterogeneous-Agent Reinforcement Learning Yifan Zhong J. Kuba Xidong Feng Siyi Hu Jiaming Ji Yaodong Yang 25 37 0 19 Apr 2023
MABL: Bi-Level Latent-Variable World Model for Sample-Efficient Multi-Agent Reinforcement Learning Aravind Venugopal Stephanie Milani Fei Fang Balaraman Ravindran OffRL 21 0 0 12 Apr 2023
Multi-agent Policy Reciprocity with Theoretical Guarantee Haozhi Wang Yinchuan Li Qing Wang Yunfeng Shao Jianye Hao 25 0 0 12 Apr 2023
Swarm Reinforcement Learning For Adaptive Mesh Refinement Niklas Freymuth Philipp Dahlinger Tobias Würth Simon Reisch Luise Kärger Gerhard Neumann 29 13 0 03 Apr 2023
Soft-Bellman Equilibrium in Affine Markov Games: Forward Solutions and Inverse Learning Shenghui Chen Yue Yu David Fridovich-Keil Ufuk Topcu 24 1 0 31 Mar 2023
The challenge of redundancy on multi-agent value factorisation Siddarth S. Singh Benjamin Rosman 42 1 0 28 Mar 2023
Embedding Contextual Information through Reward Shaping in Multi-Agent Learning: A Case Study from Google Football Chaoyi Gu V. D. Silva Corentin Artaud Rafael Pina 21 1 0 25 Mar 2023
Causality Detection for Efficient Multi-Agent Reinforcement Learning Rafael Pina V. D. Silva Corentin Artaud LRM 15 0 0 24 Mar 2023
SVDE: Scalable Value-Decomposition Exploration for Cooperative Multi-Agent Reinforcement Learning Shuhan Qi Shuhao Zhang Qiang-qiang Wang Jia-jia Zhang Jing Xiao Xueliang Wang 34 0 0 16 Mar 2023
Conditionally Optimistic Exploration for Cooperative Deep Multi-Agent Reinforcement Learning Xutong Zhao Yangchen Pan Chenjun Xiao Sarath Chandar Janarthanan Rajendran 27 6 0 16 Mar 2023
Muti-Agent Proximal Policy Optimization For Data Freshness in UAV-assisted Networks M. Ndiaye El Houcine Bergou Hajar Elhammouti 35 7 0 15 Mar 2023
Learning Adaptable Risk-Sensitive Policies to Coordinate in Multi-Agent General-Sum Games Ziyi Liu Yongchun Fang 22 1 0 14 Mar 2023
E2CoPre: Energy Efficient and Cooperative Collision Avoidance for UAV Swarms with Trajectory Prediction Shuangyao Huang Haibo Zhang Zhiyi Huang 30 7 0 11 Mar 2023
Proactive Multi-Camera Collaboration For 3D Human Pose Estimation Hai Ci Mickel Liu Xuehai Pan Fangwei Zhong Yizhou Wang 46 11 0 07 Mar 2023
Toward Risk-based Optimistic Exploration for Cooperative Multi-Agent Reinforcement Learning Ji-Yun Oh Joonkee Kim Minchan Jeong Se-Young Yun 38 1 0 03 Mar 2023
GHQ: Grouped Hybrid Q Learning for Heterogeneous Cooperative Multi-agent Reinforcement Learning Xiaoyang Yu Youfang Lin Xiangsen Wang Sheng Han Kai Lv 27 1 0 02 Mar 2023
Parameter Sharing with Network Pruning for Scalable Multi-Agent Deep Reinforcement Learning Woojun Kim Young-Jin Sung 21 7 0 02 Mar 2023
SCRIMP: Scalable Communication for Reinforcement- and Imitation-Learning-Based Multi-Agent Pathfinding Yutong Wang Bairan Xiang Shinan Huang Guillaume Sartoretti 36 32 0 01 Mar 2023
IQ-Flow: Mechanism Design for Inducing Cooperative Behavior to Self-Interested Agents in Sequential Social Dilemmas Bengisu Guresti Abdullah Vanlioglu N. K. Üre 18 5 0 28 Feb 2023
AIIR-MIX: Multi-Agent Reinforcement Learning Meets Attention Individual Intrinsic Reward Mixing Network Wei Li Weiyan Liu Shitong Shao Shiyi Huang 20 3 0 19 Feb 2023
TiZero: Mastering Multi-Agent Football with Curriculum Learning and Self-Play Fanqing Lin Shiyu Huang Tim Pearce Wenze Chen Weijuan Tu 26 17 0 15 Feb 2023
A Theory of Mind Approach as Test-Time Mitigation Against Emergent Adversarial Communication Nancirose Piazza Vahid Behzadan AAML 27 7 0 14 Feb 2023
Adaptive Value Decomposition with Greedy Marginal Contribution Computation for Cooperative Multi-Agent Reinforcement Learning Shanqi Liu Yujing Hu Runze Wu Dongxian Xing Yu Xiong Changjie Fan Kun Kuang Y. Liu 32 0 0 14 Feb 2023
Order Matters: Agent-by-agent Policy Optimization Xihuai Wang Zheng Tian Bo Liu Ying Wen Jun Wang Weinan Zhang 33 27 0 13 Feb 2023
MANSA: Learning Fast and Slow in Multi-Agent Systems D. Mguni Hao Chen Taher Jafferjee Jianhong Wang Long Fei Xidong Feng Stephen Marcus McAleer Feifei Tong Jun Wang Yaodong Yang 30 1 0 12 Feb 2023
ReMIX: Regret Minimization for Monotonic Value Function Factorization in Multiagent Reinforcement Learning Yongsheng Mei Hanhan Zhou Tian-Shing Lan 38 11 0 11 Feb 2023
Shared Information-Based Safe And Efficient Behavior Planning For Connected Autonomous Vehicles Songyang Han Shangli Zhou Lynn Pepin Jiangwei Wang Caiwen Ding Fei Miao 21 1 0 08 Feb 2023
Ensemble Value Functions for Efficient Exploration in Multi-Agent Reinforcement Learning Lukas Schafer Oliver Slumbers Stephen Marcus McAleer Yali Du Stefano V. Albrecht D. Mguni 82 7 0 07 Feb 2023
Attacking Cooperative Multi-Agent Reinforcement Learning by Adversarial Minority Influence Simin Li Jun Guo Jingqiao Xiu Pu Feng Xin Yu Aishan Liu Wenjun Wu Xianglong Liu AAML 50 14 0 07 Feb 2023
Dealing With Non-stationarity in Decentralized Cooperative Multi-Agent Deep Reinforcement Learning via Multi-Timescale Learning Hadi Nekoei Akilesh Badrinaaraayanan Amit Sinha Mohammad Amini Janarthanan Rajendran Aditya Mahajan Sarath Chandar 31 13 0 06 Feb 2023
Dual Self-Awareness Value Decomposition Framework without Individual Global Max for Cooperative Multi-Agent Reinforcement Learning Zhiwei Xu Bin Zhang Dapeng Li Guangchong Zhou Zeren Zhang Guoliang Fan 36 3 0 04 Feb 2023
DIFFER: Decomposing Individual Reward for Fair Experience Replay in Multi-Agent Reinforcement Learning Xu Hu Jian Zhao Wen-gang Zhou Ruili Feng Houqiang Li 37 1 0 25 Jan 2023
Mean-Field Control based Approximation of Multi-Agent Reinforcement Learning in Presence of a Non-decomposable Shared Global State Washim Uddin Mondal Vaneet Aggarwal S. Ukkusuri 33 8 0 13 Jan 2023
TransfQMix: Transformers for Leveraging the Graph Structure of Multi-Agent Reinforcement Learning Problems Matteo Gallici Mario Martin Ivan Masmitja OffRL 13 10 0 13 Jan 2023
A Survey on Transformers in Reinforcement Learning Wenzhe Li Hao Luo Zichuan Lin Chongjie Zhang Zongqing Lu Deheng Ye OffRL MU AI4CE 37 56 0 08 Jan 2023
Self-Motivated Multi-Agent Exploration Shaowei Zhang Jiahan Cao Lei Yuan Yang Yu De-Chuan Zhan 47 5 0 05 Jan 2023
Learning a Generic Value-Selection Heuristic Inside a Constraint Programming Solver Tom Marty Tristan François Pierre Tessier Louis Gautier Louis-Martin Rousseau Quentin Cappart 46 7 0 05 Jan 2023
Emergent collective intelligence from massive-agent cooperation and competition H. Chen Stone Tao Jiaxin Chen Weihan Shen Xihui Li Chenghui Yu Sikai Cheng Xiaolong Zhu Xiu Li 18 4 0 04 Jan 2023
Quantum Multi-Agent Actor-Critic Neural Networks for Internet-Connected Multi-Robot Coordination in Smart Factory Management Won Joon Yun Jae Pyoung Kim Soyi Jung Jae-Hyun Kim Joongheon Kim OffRL 29 31 0 04 Jan 2023
Optimization of Image Transmission in a Cooperative Semantic Communication Networks Wenjing Zhang Yining Wang Mingzhe Chen Tao Luo Dusit Niyato 23 41 0 01 Jan 2023
On Transforming Reinforcement Learning by Transformer: The Development Trajectory Shengchao Hu Li Shen Ya Zhang Yixin Chen Dacheng Tao OffRL 27 25 0 29 Dec 2022
Learning Individual Policies in Large Multi-agent Systems through Local Variance Minimization Tanvi Verma Pradeep Varakantham 21 0 0 27 Dec 2022
Certified Policy Smoothing for Cooperative Multi-Agent Reinforcement Learning Ronghui Mu Wenjie Ruan Leandro Soriano Marcolino Gaojie Jin Q. Ni 42 5 0 22 Dec 2022
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 35 16 0 15 Dec 2022
SMACv2: An Improved Benchmark for Cooperative Multi-Agent Reinforcement Learning Benjamin Ellis Jonathan Cook S. Moalla Mikayel Samvelyan Mingfei Sun Anuj Mahajan Jakob N. Foerster Shimon Whiteson 28 84 0 14 Dec 2022