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Monotonic Value Function Factorisation for Deep Multi-Agent
  Reinforcement Learning
v1v2 (latest)

Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning

Journal of machine learning research (JMLR), 2020
19 March 2020
Tabish Rashid
Mikayel Samvelyan
Christian Schroeder de Witt
Gregory Farquhar
Jakob N. Foerster
Shimon Whiteson
ArXiv (abs)PDFHTML

Papers citing "Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning"

50 / 365 papers shown
Multi-Agent Reinforcement Learning with Communication-Constrained Priors
Multi-Agent Reinforcement Learning with Communication-Constrained Priors
Guang Yang
Tianpei Yang
Jingwen Qiao
Yanqing Wu
Jing Huo
Xingguo Chen
Yang Gao
192
1
0
03 Dec 2025
LLM-Driven Stationarity-Aware Expert Demonstrations for Multi-Agent Reinforcement Learning in Mobile Systems
LLM-Driven Stationarity-Aware Expert Demonstrations for Multi-Agent Reinforcement Learning in Mobile Systems
Tianyang Duan
Zongyuan Zhang
Zheng Lin
Songxiao Guo
Xiuxian Guan
...
Xia Du
Ji-Zhe Zhou
Heming Cui
Jun Luo
Yue Gao
109
4
0
24 Nov 2025
Multi-Agent Cross-Entropy Method with Monotonic Nonlinear Critic Decomposition
Multi-Agent Cross-Entropy Method with Monotonic Nonlinear Critic Decomposition
Yan Wang
Ke Deng
Yongli Ren
187
0
0
24 Nov 2025
MOMA-AC: A preference-driven actor-critic framework for continuous multi-objective multi-agent reinforcement learning
MOMA-AC: A preference-driven actor-critic framework for continuous multi-objective multi-agent reinforcement learningNeurocomputing (Neurocomputing), 2025
Adam Callaghan
Karl Mason
Patrick Mannion
AI4CE
105
0
0
22 Nov 2025
HCPO: Hierarchical Conductor-Based Policy Optimization in Multi-Agent Reinforcement Learning
HCPO: Hierarchical Conductor-Based Policy Optimization in Multi-Agent Reinforcement LearningIEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2025
Zejiao Liu
Junqi Tu
Yitian Hong
Luolin Xiong
Yaochu Jin
Yang Tang
F. Li
64
0
0
15 Nov 2025
Intelligent Collaborative Optimization for Rubber Tyre Film Production Based on Multi-path Differentiated Clipping Proximal Policy Optimization
Intelligent Collaborative Optimization for Rubber Tyre Film Production Based on Multi-path Differentiated Clipping Proximal Policy Optimization
Yinghao Ruan
Wei Pang
Shuaihao Liu
Huili Yang
Leyi Han
Xinghui Dong
221
0
0
15 Nov 2025
Goal-Oriented Multi-Agent Reinforcement Learning for Decentralized Agent Teams
Goal-Oriented Multi-Agent Reinforcement Learning for Decentralized Agent Teams
Hung Du
Hy Nguyen
Srikanth Thudumu
Rajesh Vasa
K. Mouzakis
71
0
0
15 Nov 2025
MALinZero: Efficient Low-Dimensional Search for Mastering Complex Multi-Agent Planning
MALinZero: Efficient Low-Dimensional Search for Mastering Complex Multi-Agent Planning
Sizhe Tang
Jiayu Chen
Tian-Shing Lan
124
5
0
08 Nov 2025
Disentangled Control of Multi-Agent Systems
Disentangled Control of Multi-Agent Systems
Ruoyu Lin
Gennaro Notomista
Magnus Egerstedt
AI4CE
131
0
0
08 Nov 2025
Multi-agent Coordination via Flow Matching
Multi-agent Coordination via Flow Matching
Dongsu Lee
Daehee Lee
Amy Zhang
154
0
0
07 Nov 2025
Multi-Agent Craftax: Benchmarking Open-Ended Multi-Agent Reinforcement Learning at the Hyperscale
Multi-Agent Craftax: Benchmarking Open-Ended Multi-Agent Reinforcement Learning at the Hyperscale
Bassel Al Omari
Michael T. Matthews
Alexander Rutherford
Jakob N. Foerster
133
1
0
07 Nov 2025
Large-scale automatic carbon ion treatment planning for head and neck cancers via parallel multi-agent reinforcement learning
Large-scale automatic carbon ion treatment planning for head and neck cancers via parallel multi-agent reinforcement learning
Jueye Zhang
Chao Yang
Youfang Lai
Kai-Wen Li
Wenting Yan
...
Jingjing Zhou
Gen Yang
Chen Lin
Tian Li
Yibao Zhang
OffRL
111
0
0
04 Nov 2025
From Solo to Symphony: Orchestrating Multi-Agent Collaboration with Single-Agent Demos
From Solo to Symphony: Orchestrating Multi-Agent Collaboration with Single-Agent Demos
Xun Wang
Zhuoran Li
Yanshan Lin
Hai Zhong
Longbo Huang
OffRLLLMAG
182
0
0
04 Nov 2025
Learning what to say and how precisely: Efficient Communication via Differentiable Discrete Communication Learning
Learning what to say and how precisely: Efficient Communication via Differentiable Discrete Communication Learning
Aditya Kapoor
Yash Bhisikar
B. Freed
Jan Peters
Mingfei Sun
OffRL
102
0
0
03 Nov 2025
Adaptive Context Length Optimization with Low-Frequency Truncation for Multi-Agent Reinforcement Learning
Adaptive Context Length Optimization with Low-Frequency Truncation for Multi-Agent Reinforcement Learning
Wenchang Duan
Yaoliang Yu
Jiwan He
Yi Shi
167
0
0
30 Oct 2025
Multi-Agent Conditional Diffusion Model with Mean Field Communication as Wireless Resource Allocation Planner
Multi-Agent Conditional Diffusion Model with Mean Field Communication as Wireless Resource Allocation Planner
Kechen Meng
Sinuo Zhang
Rongpeng Li
Xiangming Meng
Chan Wang
Chan Wang
Zhifeng Zhao
Zhifeng Zhao
DiffM
181
0
0
27 Oct 2025
X-Ego: Acquiring Team-Level Tactical Situational Awareness via Cross-Egocentric Contrastive Video Representation Learning
X-Ego: Acquiring Team-Level Tactical Situational Awareness via Cross-Egocentric Contrastive Video Representation Learning
Yunzhe Wang
Soham Hans
Volkan Ustun
EgoV
231
0
0
22 Oct 2025
A Principle of Targeted Intervention for Multi-Agent Reinforcement Learning
A Principle of Targeted Intervention for Multi-Agent Reinforcement Learning
Anjie Liu
Jianhong Wang
Samuel Kaski
Jun Wang
M. Yang
288
0
0
20 Oct 2025
AOAD-MAT: Transformer-based multi-agent deep reinforcement learning model considering agents' order of action decisions
AOAD-MAT: Transformer-based multi-agent deep reinforcement learning model considering agents' order of action decisions
Shota Takayama
Katsuhide Fujita
131
0
0
15 Oct 2025
Neutral Agent-based Adversarial Policy Learning against Deep Reinforcement Learning in Multi-party Open Systems
Neutral Agent-based Adversarial Policy Learning against Deep Reinforcement Learning in Multi-party Open Systems
Qizhou Peng
Yang Zheng
Yu Wen
Yanna Wu
Yingying Du
AAML
145
0
0
13 Oct 2025
MARCO: A Cooperative Knowledge Transfer Framework for Personalized Cross-domain Recommendations
MARCO: A Cooperative Knowledge Transfer Framework for Personalized Cross-domain Recommendations
Lili Xie
Yi Zhang
Ruihong Qiu
Jiajun Liu
Sen Wang
118
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
97
0
0
04 Oct 2025
Expandable Decision-Making States for Multi-Agent Deep Reinforcement Learning in Soccer Tactical Analysis
Expandable Decision-Making States for Multi-Agent Deep Reinforcement Learning in Soccer Tactical Analysis
Kenjiro Ide
Taiga Someya
Kohei Kawaguchi
Keisuke Fujii
193
0
0
01 Oct 2025
Unifying Agent Interaction and World Information for Multi-agent Coordination
Unifying Agent Interaction and World Information for Multi-agent Coordination
Dongsu Lee
Daehee Lee
Yaru Niu
Honguk Woo
Amy Zhang
Ding Zhao
294
0
0
29 Sep 2025
EAPO: Enhancing Policy Optimization with On-Demand Expert Assistance
EAPO: Enhancing Policy Optimization with On-Demand Expert Assistance
Siyao Song
Cong Ma
Zhihao Cheng
Shiye Lei
Minghao Li
Ying Zeng
Huaixiao Tou
Kai Jia
OffRLLRM
198
0
0
28 Sep 2025
Preference-Guided Learning for Sparse-Reward Multi-Agent Reinforcement Learning
Preference-Guided Learning for Sparse-Reward Multi-Agent Reinforcement Learning
Viet The Bui
Tien Mai
Hong Thanh Nguyen
OffRL
230
0
0
26 Sep 2025
Triple-BERT: Do We Really Need MARL for Order Dispatch on Ride-Sharing Platforms?
Triple-BERT: Do We Really Need MARL for Order Dispatch on Ride-Sharing Platforms?
Zijian Zhao
S. Li
OffRL
156
0
0
26 Sep 2025
Multi-Agent Path Finding via Offline RL and LLM Collaboration
Multi-Agent Path Finding via Offline RL and LLM Collaboration
Merve Atasever
Matthew Hong
Mihir Nitin Kulkarni
Qingpei Li
Jyotirmoy V. Deshmukh
AI4CE
143
0
0
26 Sep 2025
Wonder Wins Ways: Curiosity-Driven Exploration through Multi-Agent Contextual Calibration
Wonder Wins Ways: Curiosity-Driven Exploration through Multi-Agent Contextual Calibration
Yiyuan Pan
Zhe Liu
Hesheng Wang
LRM
222
0
0
25 Sep 2025
CLAUSE: Agentic Neuro-Symbolic Knowledge Graph Reasoning via Dynamic Learnable Context Engineering
CLAUSE: Agentic Neuro-Symbolic Knowledge Graph Reasoning via Dynamic Learnable Context Engineering
Yang Zhao
Chengxiao Dai
Wei Zhuo
Yue Xiu
Dusit Niyato
171
0
0
25 Sep 2025
Embodied AI: From LLMs to World Models
Embodied AI: From LLMs to World Models
Tongtong Feng
Xin Wang
Yu Jiang
Wenwu Zhu
LM&Ro
365
17
0
24 Sep 2025
HypeMARL: Multi-Agent Reinforcement Learning For High-Dimensional, Parametric, and Distributed Systems
HypeMARL: Multi-Agent Reinforcement Learning For High-Dimensional, Parametric, and Distributed Systems
N. Botteghi
Matteo Tomasetto
Urban Fasel
Francesco Braghin
Andrea Manzoni
151
0
0
20 Sep 2025
Fully Decentralized Cooperative Multi-Agent Reinforcement Learning is A Context Modeling Problem
Fully Decentralized Cooperative Multi-Agent Reinforcement Learning is A Context Modeling Problem
Chao Li
Bingkun Bao
Yang Gao
95
0
0
19 Sep 2025
LEED: A Highly Efficient and Scalable LLM-Empowered Expert Demonstrations Framework for Multi-Agent Reinforcement Learning
LEED: A Highly Efficient and Scalable LLM-Empowered Expert Demonstrations Framework for Multi-Agent Reinforcement Learning
Tianyang Duan
Zongyuan Zhang
Songxiao Guo
Dong Huang
Yuanye Zhao
Zheng Lin
Zihan Fang
Dianxin Luan
Heming Cui
Yong Cui
184
4
0
18 Sep 2025
MIMIC-D: Multi-modal Imitation for MultI-agent Coordination with Decentralized Diffusion Policies
MIMIC-D: Multi-modal Imitation for MultI-agent Coordination with Decentralized Diffusion Policies
Dayi Dong
Maulik Bhatt
Seoyeon Choi
Negar Mehr
134
0
0
17 Sep 2025
CRAFT: Coaching Reinforcement Learning Autonomously using Foundation Models for Multi-Robot Coordination Tasks
CRAFT: Coaching Reinforcement Learning Autonomously using Foundation Models for Multi-Robot Coordination Tasks
Seoyeon Choi
Kanghyun Ryu
Jonghoon Ock
Negar Mehr
199
2
0
17 Sep 2025
Local-Canonicalization Equivariant Graph Neural Networks for Sample-Efficient and Generalizable Swarm Robot Control
Local-Canonicalization Equivariant Graph Neural Networks for Sample-Efficient and Generalizable Swarm Robot Control
Keqin Wang
Tao Zhong
David Chang
Christine Allen-Blanchette
142
0
0
17 Sep 2025
Constructive Conflict-Driven Multi-Agent Reinforcement Learning for Strategic Diversity
Constructive Conflict-Driven Multi-Agent Reinforcement Learning for Strategic DiversityInternational Joint Conference on Artificial Intelligence (IJCAI), 2025
Yuxiang Mai
Qiyue Yin
Wancheng Ni
Pei Xu
K. Huang
147
0
0
16 Sep 2025
HLSMAC: A New StarCraft Multi-Agent Challenge for High-Level Strategic Decision-Making
HLSMAC: A New StarCraft Multi-Agent Challenge for High-Level Strategic Decision-Making
Xingxing Hong
Yungong Wang
Dexin Jin
Ye Yuan
Ximing Huang
Zijian Wu
Wenxin Li
163
0
0
16 Sep 2025
$K$-Level Policy Gradients for Multi-Agent Reinforcement Learning
KKK-Level Policy Gradients for Multi-Agent Reinforcement Learning
Aryaman Reddi
Gabriele Tiboni
Jan Peters
Carlo DÉramo
124
1
0
15 Sep 2025
Dynamic Sensitivity Filter Pruning using Multi-Agent Reinforcement Learning For DCNN's
Dynamic Sensitivity Filter Pruning using Multi-Agent Reinforcement Learning For DCNN's
Iftekhar Haider Chowdhury
Zaed Ikbal Syed
Ahmed Faizul Haque Dhrubo
Mohammad Abdul Qayum
143
0
0
05 Sep 2025
Population-aware Online Mirror Descent for Mean-Field Games with Common Noise by Deep Reinforcement Learning
Population-aware Online Mirror Descent for Mean-Field Games with Common Noise by Deep Reinforcement Learning
Zida Wu
Mathieu Lauriere
Matthieu Geist
Olivier Pietquin
Ankur M. Mehta
138
3
0
03 Sep 2025
Multi-Agent Reinforcement Learning for Task Offloading in Wireless Edge Networks
Multi-Agent Reinforcement Learning for Task Offloading in Wireless Edge Networks
Andrea Fox
Francesco De Pellegrini
Eitan Altman
OffRL
157
0
0
01 Sep 2025
SWIRL: A Staged Workflow for Interleaved Reinforcement Learning in Mobile GUI Control
SWIRL: A Staged Workflow for Interleaved Reinforcement Learning in Mobile GUI Control
Quanfeng Lu
Zhantao Ma
Shuai Zhong
Jin Wang
Dahai Yu
Michael K. Ng
Ping Luo
266
0
0
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MASH: Cooperative-Heterogeneous Multi-Agent Reinforcement Learning for Single Humanoid Robot Locomotion
MASH: Cooperative-Heterogeneous Multi-Agent Reinforcement Learning for Single Humanoid Robot Locomotion
Qi Liu
Xiaopeng Zhang
Mingshan Tan
Shuaikang Ma
Jinliang Ding
Yanjie Li
120
2
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14 Aug 2025
Multi-Agent Trust Region Policy Optimisation: A Joint Constraint Approach
Multi-Agent Trust Region Policy Optimisation: A Joint Constraint Approach
Chak Lam Shek
Guangyao Shi
Erfaun Noorani
141
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Diffusion Models for Future Networks and Communications: A Comprehensive Survey
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Nguyen Cong Luong
Nguyen Duc Hai
Duc Van Le
H. T. Nguyen
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Dong In Kim
Quoc-Viet Pham
214
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Centralized Adaptive Sampling for Reliable Co-Training of Independent Multi-Agent Policies
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209
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