Rethinking Individual Global Max in Cooperative Multi-Agent Reinforcement Learning

20 September 2022

Papers citing "Rethinking Individual Global Max in Cooperative Multi-Agent Reinforcement Learning"

18 / 18 papers shown

Title
QLLM: Do We Really Need a Mixing Network for Credit Assignment in Multi-Agent Reinforcement Learning? Zhouyang Jiang Bin Zhang Airong Wei Zhiwei Xu OffRL 135 0 0 17 Apr 2025
Is Centralized Training with Decentralized Execution Framework Centralized Enough for MARL? Yihe Zhou Shunyu Liu Yunpeng Qing Kaixuan Chen Tongya Zheng Jie Song Mingli Song 69 20 0 27 May 2023
Multi-Agent Reinforcement Learning for Active Voltage Control on Power Distribution Networks Jianhong Wang Wangkun Xu Yunjie Gu Wenbin Song T. Green 83 127 0 27 Oct 2021
DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning Wei-Fang Sun Cheng-Kuang Lee Chun-Yi Lee OffRL 55 49 0 16 Feb 2021
Rethinking the Implementation Tricks and Monotonicity Constraint in Cooperative Multi-Agent Reinforcement Learning Jian Hu Siyang Jiang Seth Austin Harding Haibin Wu Shihua Liao 126 90 0 06 Feb 2021
QPLEX: Duplex Dueling Multi-Agent Q-Learning Jianhao Wang Zhizhou Ren Terry Liu Yang Yu Chongjie Zhang OffRL 110 457 0 03 Aug 2020
ROMA: Multi-Agent Reinforcement Learning with Emergent Roles Tonghan Wang Heng Dong V. Lesser Chongjie Zhang 113 222 0 18 Mar 2020
Qatten: A General Framework for Cooperative Multiagent Reinforcement Learning Yaodong Yang Jianye Hao B. Liao Kun Shao Guangyong Chen Wulong Liu Hongyao Tang OffRL 75 187 0 10 Feb 2020
Multi-Agent Reinforcement Learning: A Selective Overview of Theories and Algorithms Kai Zhang Zhuoran Yang Tamer Basar 221 1,225 0 24 Nov 2019
A New Framework for Multi-Agent Reinforcement Learning -- Centralized Training and Exploration with Decentralized Execution via Policy Distillation Gang Chen 59 41 0 21 Oct 2019
MAVEN: Multi-Agent Variational Exploration Anuj Mahajan Tabish Rashid Mikayel Samvelyan Shimon Whiteson DRL 191 365 0 16 Oct 2019
QTRAN: Learning to Factorize with Transformation for Cooperative Multi-Agent Reinforcement Learning Kyunghwan Son Daewoo Kim Wan Ju Kang D. Hostallero Yung Yi OffRL 69 809 0 14 May 2019
The StarCraft Multi-Agent Challenge Mikayel Samvelyan Tabish Rashid Christian Schroeder de Witt Gregory Farquhar Nantas Nardelli Tim G. J. Rudner Chia-Man Hung Philip Torr Jakob N. Foerster Shimon Whiteson 98 958 0 11 Feb 2019
Deep Reinforcement Learning for Multi-Agent Systems: A Review of Challenges, Solutions and Applications Thanh Thi Nguyen Ngoc Duy Nguyen S. Nahavandi 97 792 0 31 Dec 2018
QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning Tabish Rashid Mikayel Samvelyan Christian Schroeder de Witt Gregory Farquhar Jakob N. Foerster Shimon Whiteson 166 1,677 0 30 Mar 2018
Learning to Communicate with Deep Multi-Agent Reinforcement Learning Jakob N. Foerster Yannis Assael Nando de Freitas Shimon Whiteson 165 1,614 0 21 May 2016
Optimal and Approximate Q-value Functions for Decentralized POMDPs F. Oliehoek M. Spaan N. Vlassis OffRL 116 503 0 31 Oct 2011
A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning Stéphane Ross Geoffrey J. Gordon J. Andrew Bagnell OffRL 261 3,238 0 02 Nov 2010