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2201.06257
Cited By
GCS: Graph-based Coordination Strategy for Multi-Agent Reinforcement Learning
Adaptive Agents and Multi-Agent Systems (AAMAS), 2022
17 January 2022
Jingqing Ruan
Yali Du
Xuantang Xiong
Dengpeng Xing
Xiyun Li
Linghui Meng
Haifeng Zhang
Jun Wang
Bo Xu
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Papers citing
"GCS: Graph-based Coordination Strategy for Multi-Agent Reinforcement Learning"
19 / 19 papers shown
Goal-Oriented Multi-Agent Reinforcement Learning for Decentralized Agent Teams
Hung Du
Hy Nguyen
Srikanth Thudumu
Rajesh Vasa
K. Mouzakis
92
0
0
15 Nov 2025
AOAD-MAT: Transformer-based multi-agent deep reinforcement learning model considering agents' order of action decisions
Shota Takayama
Katsuhide Fujita
153
1
0
15 Oct 2025
Action Dependency Graphs for Globally Optimal Coordinated Reinforcement Learning
Jianglin Ding
Jingcheng Tang
Gangshan Jing
214
1
0
01 Jun 2025
Enhancing Cooperative Multi-Agent Reinforcement Learning with State Modelling and Adversarial Exploration
Andreas Kontogiannis
Konstantinos Papathanasiou
Yi Shen
Giorgos Stamou
Michael M. Zavlanos
G. Vouros
464
4
0
08 May 2025
Enhancing Multi-Agent Systems via Reinforcement Learning with LLM-based Planner and Graph-based Policy
IEEE International Conference on Robotics and Automation (ICRA), 2025
Ziqi Jia
Junjie Li
Xiaoyang Qu
Jianzong Wang
LLMAG
335
12
0
13 Mar 2025
Contextual Knowledge Sharing in Multi-Agent Reinforcement Learning with Decentralized Communication and Coordination
Hung Du
Srikanth Thudumu
Hy Nguyen
Rajesh Vasa
K. Mouzakis
332
2
0
28 Jan 2025
Staged Reinforcement Learning for Complex Tasks through Decomposed Environments
Rafael Pina
Corentin Artaud
Xiaolan Liu
V. D. Silva
246
1
0
05 Nov 2023
Boosting Studies of Multi-Agent Reinforcement Learning on Google Research Football Environment: the Past, Present, and Future
Adaptive Agents and Multi-Agent Systems (AAMAS), 2023
Yan Song
He Jiang
Haifeng Zhang
Zheng Tian
Weinan Zhang
Jun Wang
OffRL
238
10
0
22 Sep 2023
Context-Aware Bayesian Network Actor-Critic Methods for Cooperative Multi-Agent Reinforcement Learning
International Conference on Machine Learning (ICML), 2023
Dingyang Chen
Qi Zhang
277
5
0
02 Jun 2023
Adaptive action supervision in reinforcement learning from real-world multi-agent demonstrations
International Conference on Agents and Artificial Intelligence (ICAART), 2023
Keisuke Fujii
Kazushi Tsutsui
Atom Scott
Hiroshi Nakahara
Naoya Takeishi
Yoshinobu Kawahara
449
11
0
22 May 2023
An Empirical Study on Google Research Football Multi-agent Scenarios
Machine Intelligence Research (MIR), 2023
Yan Song
He Jiang
Zheng Tian
Haifeng Zhang
Yingping Zhang
Jiangcheng Zhu
Zonghong Dai
Weinan Zhang
Jun Wang
296
10
0
16 May 2023
Mixture of personality improved Spiking actor network for efficient multi-agent cooperation
Frontiers in Neuroscience (Front. Neurosci.), 2023
Xiyun Li
Ziyi Ni
Jingqing Ruan
Linghui Meng
Jing Shi
Tielin Zhang
Bo Xu
266
8
0
10 May 2023
Partially Observable Mean Field Multi-Agent Reinforcement Learning Based on Graph-Attention
Min Yang
Guanjun Liu
Ziyuan Zhou
304
22
0
25 Apr 2023
AC2C: Adaptively Controlled Two-Hop Communication for Multi-Agent Reinforcement Learning
Adaptive Agents and Multi-Agent Systems (AAMAS), 2023
Xuefeng Wang
Xinran Li
Jiawei Shao
Jun Zhang
195
16
0
24 Feb 2023
Learning Graph-Enhanced Commander-Executor for Multi-Agent Navigation
Adaptive Agents and Multi-Agent Systems (AAMAS), 2023
Xinyi Yang
Shiyu Huang
Yiwen Sun
Yuxiang Yang
Chao Yu
Weijuan Tu
Huazhong Yang
Yu Wang
192
12
0
08 Feb 2023
ACE: Cooperative Multi-agent Q-learning with Bidirectional Action-Dependency
AAAI Conference on Artificial Intelligence (AAAI), 2022
Chuming Li
Jie Liu
Yinmin Zhang
Yuhong Wei
Yazhe Niu
Yaodong Yang
Y. Liu
Wanli Ouyang
245
38
0
29 Nov 2022
Scalable Model-based Policy Optimization for Decentralized Networked Systems
IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2022
Yali Du
Chengdong Ma
Yuchen Liu
Runji Lin
Hao Dong
Jun Wang
Yaodong Yang
327
13
0
13 Jul 2022
Learning to Advise and Learning from Advice in Cooperative Multi-Agent Reinforcement Learning
Adaptive Agents and Multi-Agent Systems (AAMAS), 2022
Yue Jin
Shuangqing Wei
Jian Yuan
Xudong Zhang
168
0
0
23 May 2022
On the Convergence of Continuous Constrained Optimization for Structure Learning
International Conference on Artificial Intelligence and Statistics (AISTATS), 2020
Ignavier Ng
Sébastien Lachapelle
Nan Rosemary Ke
Damien Scieur
Kun Zhang
581
45
0
23 Nov 2020
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