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A Survey of Progress on Cooperative Multi-agent Reinforcement Learning
  in Open Environment

A Survey of Progress on Cooperative Multi-agent Reinforcement Learning in Open Environment

2 December 2023
Lei Yuan
Ziqian Zhang
Lihe Li
Cong Guan
Yang Yu
    LRM
ArXiv (abs)PDFHTML

Papers citing "A Survey of Progress on Cooperative Multi-agent Reinforcement Learning in Open Environment"

26 / 26 papers shown
PADiff: Predictive and Adaptive Diffusion Policies for Ad Hoc Teamwork
PADiff: Predictive and Adaptive Diffusion Policies for Ad Hoc Teamwork
Hohei Chan
Xinzhi Zhang
Antao Xiang
Weinan Zhang
Mengchen Zhao
104
0
0
10 Nov 2025
Sequential Multi-Agent Dynamic Algorithm Configuration
Sequential Multi-Agent Dynamic Algorithm Configuration
Chen Lu
Ke Xue
Lei Yuan
Yao Wang
Yaoyuan Wang
Sheng Fu
Chao Qian
107
0
0
27 Oct 2025
MARS: Optimizing Dual-System Deep Research via Multi-Agent Reinforcement Learning
MARS: Optimizing Dual-System Deep Research via Multi-Agent Reinforcement Learning
Guoxin Chen
Zile Qiao
Wenqing Wang
Donglei Yu
Xuanzhong Chen
...
Yong Jiang
Penguin Xie
Wayne Xin Zhao
Ruihua Song
Fei Huang
LLMAGLRM
141
0
0
06 Oct 2025
Distributed Area Coverage with High Altitude Balloons Using Multi-Agent Reinforcement Learning
Distributed Area Coverage with High Altitude Balloons Using Multi-Agent Reinforcement Learning
Adam Haroon
Tristan Schuler
90
0
0
04 Oct 2025
Learning to Interact in World Latent for Team Coordination
Learning to Interact in World Latent for Team Coordination
Dongsu Lee
Daehee Lee
Yaru Niu
Honguk Woo
Amy Zhang
Ding Zhao
264
0
0
29 Sep 2025
SIRAG: Towards Stable and Interpretable RAG with A Process-Supervised Multi-Agent Framework
SIRAG: Towards Stable and Interpretable RAG with A Process-Supervised Multi-Agent Framework
Junlin Wang
Zehao Wu
Shaowei Lu
Yanlan Li
Xinghao Huang
121
1
0
17 Sep 2025
Hierarchical Message-Passing Policies for Multi-Agent Reinforcement Learning
Hierarchical Message-Passing Policies for Multi-Agent Reinforcement Learning
Tommaso Marzi
Cesare Alippi
Andrea Cini
186
0
0
31 Jul 2025
MEAL: A Benchmark for Continual Multi-Agent Reinforcement Learning
MEAL: A Benchmark for Continual Multi-Agent Reinforcement Learning
Tristan Tomilin
Luka van den Boogaard
Samuel Garcin
Bram Grooten
Meng Fang
Yali Du
Mykola Pechenizkiy
OffRL
222
0
0
17 Jun 2025
Multi-agent Embodied AI: Advances and Future Directions
Multi-agent Embodied AI: Advances and Future Directions
Zhaohan Feng
Ruiqi Xue
Lei Yuan
Yang Yu
Ning Ding
M. Liu
Bingzhao Gao
Jian Sun
Xinhu Zheng
Gang Wang
AI4CE
541
24
0
08 May 2025
LLM-Mediated Guidance of MARL Systems
LLM-Mediated Guidance of MARL Systems
Philipp D. Siedler
Ian Gemp
284
1
0
16 Mar 2025
Deep Learning Agents Trained For Avoidance Behave Like Hawks And Doves
Deep Learning Agents Trained For Avoidance Behave Like Hawks And Doves
Aryaman Reddi
203
0
0
14 Mar 2025
C-3PO: Compact Plug-and-Play Proxy Optimization to Achieve Human-like Retrieval-Augmented Generation
C-3PO: Compact Plug-and-Play Proxy Optimization to Achieve Human-like Retrieval-Augmented Generation
Guoxin Chen
Minpeng Liao
Peiying Yu
Dingmin Wang
Zile Qiao
Chao Yang
Xin Zhao
Kai Fan
448
5
0
10 Feb 2025
Heterogeneous Multi-agent Zero-Shot Coordination by Coevolution
Heterogeneous Multi-agent Zero-Shot Coordination by CoevolutionIEEE Transactions on Evolutionary Computation (TEVC), 2022
Ke Xue
Yutong Wang
Cong Guan
Lei Yuan
Haobo Fu
Qiang Fu
Chao Qian
Yang Yu
569
23
0
03 Jan 2025
A Multi-Agent Reinforcement Learning Testbed for Cognitive Radio
  Applications
A Multi-Agent Reinforcement Learning Testbed for Cognitive Radio ApplicationsConsumer Communications and Networking Conference (CCNC), 2024
Sriniketh Vangaru
Daniel Rosen
Dylan Green
Raphael Rodriguez
Maxwell Wiecek
Amos Johnson
Alyse M. Jones
William C. Headley
174
2
0
28 Oct 2024
Kaleidoscope: Learnable Masks for Heterogeneous Multi-agent
  Reinforcement Learning
Kaleidoscope: Learnable Masks for Heterogeneous Multi-agent Reinforcement LearningNeural Information Processing Systems (NeurIPS), 2024
Xinran Li
Ling Pan
Jun Zhang
207
5
0
11 Oct 2024
Putting Data at the Centre of Offline Multi-Agent Reinforcement Learning
Putting Data at the Centre of Offline Multi-Agent Reinforcement Learning
Claude Formanek
Louise Beyers
C. Tilbury
Jonathan P. Shock
Arnu Pretorius
OffRL
247
2
0
18 Sep 2024
HOLA-Drone: Hypergraphic Open-ended Learning for Zero-Shot Multi-Drone
  Cooperative Pursuit
HOLA-Drone: Hypergraphic Open-ended Learning for Zero-Shot Multi-Drone Cooperative Pursuit
Yang Li
Dengyu Zhang
Junfan Chen
Ying Wen
Qingrui Zhang
Shaoshuai Mou
Wei Pan
318
1
0
13 Sep 2024
Dispelling the Mirage of Progress in Offline MARL through Standardised
  Baselines and Evaluation
Dispelling the Mirage of Progress in Offline MARL through Standardised Baselines and Evaluation
Claude Formanek
C. Tilbury
Louise Beyers
Jonathan P. Shock
Arnu Pretorius
OffRL
256
5
0
13 Jun 2024
Individual Contributions as Intrinsic Exploration Scaffolds for
  Multi-agent Reinforcement Learning
Individual Contributions as Intrinsic Exploration Scaffolds for Multi-agent Reinforcement Learning
Xinran Li
Zifan Liu
Shibo Chen
Jun Zhang
239
10
0
28 May 2024
N-Agent Ad Hoc Teamwork
N-Agent Ad Hoc Teamwork
C. Wang
Arrasy Rahman
Ishan Durugkar
Elad Liebman
Peter Stone
192
12
0
16 Apr 2024
Contrastive learning-based agent modeling for deep reinforcement learning
Contrastive learning-based agent modeling for deep reinforcement learningIEEE Transactions on Emerging Topics in Computational Intelligence (TETCI), 2023
Wenhao Ma
Yu-Cheng Chang
Jie Yang
Yu-Kai Wang
Chin-Teng Lin
OffRL
271
3
0
30 Dec 2023
Efficient Reinforcement Learning via Decoupling Exploration and
  Utilization
Efficient Reinforcement Learning via Decoupling Exploration and Utilization
Jingpu Yang
Helin Wang
Qirui Zhao
Zhecheng Shi
Zirui Song
Miao Fang
407
3
0
26 Dec 2023
Context-aware Communication for Multi-agent Reinforcement Learning
Context-aware Communication for Multi-agent Reinforcement Learning
Xinran Li
Jun Zhang
326
17
0
25 Dec 2023
ZSC-Eval: An Evaluation Toolkit and Benchmark for Multi-agent Zero-shot
  Coordination
ZSC-Eval: An Evaluation Toolkit and Benchmark for Multi-agent Zero-shot CoordinationNeural Information Processing Systems (NeurIPS), 2023
Xihuai Wang
Shao Zhang
Wenhao Zhang
Wentao Dong
Jingxiao Chen
Ying Wen
Weinan Zhang
276
19
0
08 Oct 2023
Learning to Coordinate with Anyone
Learning to Coordinate with AnyoneInternational Conference on Distributed Artificial Intelligence (DAI), 2023
Lei Yuan
Lihe Li
Ziqian Zhang
F. Chen
Tianyi Zhang
Cong Guan
Yang Yu
Zhi Zhou
LLMAG
314
12
0
22 Sep 2023
Efficient Communication via Self-supervised Information Aggregation for
  Online and Offline Multi-agent Reinforcement Learning
Efficient Communication via Self-supervised Information Aggregation for Online and Offline Multi-agent Reinforcement LearningIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023
Cong Guan
F. Chen
Lei Yuan
Zongzhang Zhang
Yang Yu
OffRL
170
8
0
19 Feb 2023
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