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POWQMIX: Weighted Value Factorization with Potentially Optimal Joint Actions Recognition for Cooperative Multi-Agent Reinforcement Learning
v1v2v3v4v5 (latest)

POWQMIX: Weighted Value Factorization with Potentially Optimal Joint Actions Recognition for Cooperative Multi-Agent Reinforcement Learning

13 May 2024
Chang Huang
Siyue Tao
Shatong Zhu
Hongtu Zhou
Chen Ye
T. Feng
Changjun Jiang
ArXiv (abs)PDFHTMLGithub

Papers citing "POWQMIX: Weighted Value Factorization with Potentially Optimal Joint Actions Recognition for Cooperative Multi-Agent Reinforcement Learning"

15 / 15 papers shown
ReMIX: Regret Minimization for Monotonic Value Function Factorization in
  Multiagent Reinforcement Learning
ReMIX: Regret Minimization for Monotonic Value Function Factorization in Multiagent Reinforcement Learning
Yongsheng Mei
Hanhan Zhou
Tian-Shing Lan
377
13
0
11 Feb 2023
Dual Self-Awareness Value Decomposition Framework without Individual
  Global Max for Cooperative Multi-Agent Reinforcement Learning
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
426
3
0
04 Feb 2023
Greedy based Value Representation for Optimal Coordination in
  Multi-agent Reinforcement Learning
Greedy based Value Representation for Optimal Coordination in Multi-agent Reinforcement LearningInternational Conference on Machine Learning (ICML), 2021
Lipeng Wan
Zeyang Liu
Xingyu Chen
Xuguang Lan
Han Wang
192
17
0
22 Nov 2022
An Introduction to Multi-Agent Reinforcement Learning and Review of its
  Application to Autonomous Mobility
An Introduction to Multi-Agent Reinforcement Learning and Review of its Application to Autonomous Mobility
Lukas M. Schmidt
Johanna Brosig
Axel Plinge
Bjoern M. Eskofier
Christopher Mutschler
312
41
0
15 Mar 2022
Rethinking the Implementation Tricks and Monotonicity Constraint in
  Cooperative Multi-Agent Reinforcement Learning
Rethinking the Implementation Tricks and Monotonicity Constraint in Cooperative Multi-Agent Reinforcement Learning
Jian Hu
Siyang Jiang
Seth Austin Harding
Haibin Wu
Shihua Liao
798
113
0
06 Feb 2021
PettingZoo: Gym for Multi-Agent Reinforcement Learning
PettingZoo: Gym for Multi-Agent Reinforcement Learning
J. K. Terry
Benjamin Black
Nathaniel Grammel
Mario Jayakumar
Ananth Hari
...
Caroline Horsch
Clemens Dieffendahl
Niall L. Williams
Yashas Lokesh
Praveen Ravi
OffRL
820
399
0
30 Sep 2020
QPLEX: Duplex Dueling Multi-Agent Q-Learning
QPLEX: Duplex Dueling Multi-Agent Q-Learning
Jianhao Wang
Zhizhou Ren
Terry Liu
Yang Yu
Chongjie Zhang
OffRL
551
587
0
03 Aug 2020
Weighted QMIX: Expanding Monotonic Value Function Factorisation for Deep
  Multi-Agent Reinforcement Learning
Weighted QMIX: Expanding Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning
Tabish Rashid
Gregory Farquhar
Bei Peng
Shimon Whiteson
462
460
0
18 Jun 2020
Monotonic Value Function Factorisation for Deep Multi-Agent
  Reinforcement Learning
Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement LearningJournal of machine learning research (JMLR), 2020
Tabish Rashid
Mikayel Samvelyan
Christian Schroeder de Witt
Gregory Farquhar
Jakob N. Foerster
Shimon Whiteson
680
1,301
0
19 Mar 2020
MAVEN: Multi-Agent Variational Exploration
MAVEN: Multi-Agent Variational ExplorationNeural Information Processing Systems (NeurIPS), 2019
Anuj Mahajan
Tabish Rashid
Mikayel Samvelyan
Shimon Whiteson
DRL
470
422
0
16 Oct 2019
QTRAN: Learning to Factorize with Transformation for Cooperative
  Multi-Agent Reinforcement Learning
QTRAN: Learning to Factorize with Transformation for Cooperative Multi-Agent Reinforcement LearningInternational Conference on Machine Learning (ICML), 2019
Kyunghwan Son
Daewoo Kim
Wan Ju Kang
D. Hostallero
Yung Yi
OffRL
569
1,003
0
14 May 2019
The StarCraft Multi-Agent Challenge
The StarCraft Multi-Agent ChallengeAdaptive Agents and Multi-Agent Systems (AAMAS), 2019
Mikayel Samvelyan
Tabish Rashid
Christian Schroeder de Witt
Gregory Farquhar
Nantas Nardelli
Tim G. J. Rudner
Chia-Man Hung
Juil Sock
Jakob N. Foerster
Shimon Whiteson
900
1,188
0
11 Feb 2019
Value-Decomposition Networks For Cooperative Multi-Agent Learning
Value-Decomposition Networks For Cooperative Multi-Agent Learning
P. Sunehag
Guy Lever
A. Gruslys
Wojciech M. Czarnecki
V. Zambaldi
...
Marc Lanctot
Nicolas Sonnerat
Joel Z Leibo
K. Tuyls
T. Graepel
569
1,263
0
16 Jun 2017
Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments
Multi-Agent Actor-Critic for Mixed Cooperative-Competitive EnvironmentsNeural Information Processing Systems (NeurIPS), 2017
Ryan J. Lowe
Yi Wu
Aviv Tamar
J. Harb
Pieter Abbeel
Igor Mordatch
963
5,631
0
07 Jun 2017
Counterfactual Multi-Agent Policy Gradients
Counterfactual Multi-Agent Policy Gradients
Jakob N. Foerster
Gregory Farquhar
Triantafyllos Afouras
Nantas Nardelli
Shimon Whiteson
896
2,473
0
24 May 2017
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