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Monotonic Value Function Factorisation for Deep Multi-Agent
  Reinforcement Learning

Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning

19 March 2020
Tabish Rashid
Mikayel Samvelyan
Christian Schroeder de Witt
Gregory Farquhar
Jakob N. Foerster
Shimon Whiteson
ArXivPDFHTML

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

50 / 295 papers shown
Title
Formal Modelling for Multi-Robot Systems Under Uncertainty
Formal Modelling for Multi-Robot Systems Under Uncertainty
Charlie Street
Masoumeh Mansouri
Bruno Lacerda
8
0
0
26 May 2023
MARC: A multi-agent robots control framework for enhancing reinforcement
  learning in construction tasks
MARC: A multi-agent robots control framework for enhancing reinforcement learning in construction tasks
Kangkang Duan
C. W. Suen
Zhengbo Zou
13
1
0
23 May 2023
Semantically Aligned Task Decomposition in Multi-Agent Reinforcement
  Learning
Semantically Aligned Task Decomposition in Multi-Agent Reinforcement Learning
Wenhao Li
Dan Qiao
Baoxiang Wang
Xiangfeng Wang
Bo Jin
H. Zha
23
5
0
18 May 2023
Multi-Agent Reinforcement Learning: Methods, Applications, Visionary
  Prospects, and Challenges
Multi-Agent Reinforcement Learning: Methods, Applications, Visionary Prospects, and Challenges
Ziyuan Zhou
Guanjun Liu
Ying-Si Tang
33
14
0
17 May 2023
Task-Oriented Communication Design at Scale
Task-Oriented Communication Design at Scale
Arsham Mostaani
T. Vu
Hamed Habibi
Symeon Chatzinotas
Björn E. Ottersten
11
3
0
15 May 2023
Mixture of personality improved Spiking actor network for efficient
  multi-agent cooperation
Mixture of personality improved Spiking actor network for efficient multi-agent cooperation
Xiyun Li
Ziyi Ni
Jingqing Ruan
Linghui Meng
Jing Shi
Tielin Zhang
Bo Xu
53
4
0
10 May 2023
Communication-Robust Multi-Agent Learning by Adaptable Auxiliary
  Multi-Agent Adversary Generation
Communication-Robust Multi-Agent Learning by Adaptable Auxiliary Multi-Agent Adversary Generation
Lei Yuan
F. Chen
Zhongzhan Zhang
Yang Yu
AAML
44
10
0
09 May 2023
On the Optimality, Stability, and Feasibility of Control Barrier
  Functions: An Adaptive Learning-Based Approach
On the Optimality, Stability, and Feasibility of Control Barrier Functions: An Adaptive Learning-Based Approach
A. Chriat
Chuangchuang Sun
11
4
0
05 May 2023
Single Node Injection Label Specificity Attack on Graph Neural Networks
  via Reinforcement Learning
Single Node Injection Label Specificity Attack on Graph Neural Networks via Reinforcement Learning
Dayuan Chen
Jian Andrew Zhang
Yuqian Lv
Jinhuan Wang
Hongjie Ni
Shanqing Yu
Zhen Wang
Qi Xuan
AAML
21
3
0
04 May 2023
Graph Exploration for Effective Multi-agent Q-Learning
Graph Exploration for Effective Multi-agent Q-Learning
Ainur Zhaikhan
A. H. Sayed
27
1
0
19 Apr 2023
Coordinated Defense Allocation in Reach-Avoid Scenarios with Efficient
  Online Optimization
Coordinated Defense Allocation in Reach-Avoid Scenarios with Efficient Online Optimization
Junwei Liu
Zikai Ouyang
Jiahui Yang
Hua Chen
Haibo Lu
Wei K. Zhang
18
3
0
01 Apr 2023
Reduce, Reuse, Recycle: Selective Reincarnation in Multi-Agent
  Reinforcement Learning
Reduce, Reuse, Recycle: Selective Reincarnation in Multi-Agent Reinforcement Learning
Claude Formanek
C. Tilbury
Jonathan P. Shock
Kale-ab Tessera
Arnu Pretorius
24
3
0
31 Mar 2023
Embedding Contextual Information through Reward Shaping in Multi-Agent
  Learning: A Case Study from Google Football
Embedding Contextual Information through Reward Shaping in Multi-Agent Learning: A Case Study from Google Football
Chaoyi Gu
V. D. Silva
Corentin Artaud
Rafael Pina
14
1
0
25 Mar 2023
Learning Reward Machines in Cooperative Multi-Agent Tasks
Learning Reward Machines in Cooperative Multi-Agent Tasks
Leo Ardon
Daniel Furelos-Blanco
A. Russo
15
5
0
24 Mar 2023
E2CoPre: Energy Efficient and Cooperative Collision Avoidance for UAV
  Swarms with Trajectory Prediction
E2CoPre: Energy Efficient and Cooperative Collision Avoidance for UAV Swarms with Trajectory Prediction
Shuangyao Huang
Haibo Zhang
Zhiyi Huang
14
7
0
11 Mar 2023
Demonstration-guided Deep Reinforcement Learning for Coordinated Ramp
  Metering and Perimeter Control in Large Scale Networks
Demonstration-guided Deep Reinforcement Learning for Coordinated Ramp Metering and Perimeter Control in Large Scale Networks
Zijian Hu
Wei-Ying Ma
11
5
0
04 Mar 2023
Quantum Multi-Agent Actor-Critic Networks for Cooperative Mobile Access
  in Multi-UAV Systems
Quantum Multi-Agent Actor-Critic Networks for Cooperative Mobile Access in Multi-UAV Systems
C. Park
Won Joon Yun
Jae Pyoung Kim
Tiago Koketsu Rodrigues
Soohyun Park
Soyi Jung
Joongheon Kim
21
35
0
09 Feb 2023
Ensemble Value Functions for Efficient Exploration in Multi-Agent
  Reinforcement Learning
Ensemble Value Functions for Efficient Exploration in Multi-Agent Reinforcement Learning
Lukas Schafer
Oliver Slumbers
Stephen Marcus McAleer
Yali Du
Stefano V. Albrecht
D. Mguni
74
7
0
07 Feb 2023
Towards Skilled Population Curriculum for Multi-Agent Reinforcement
  Learning
Towards Skilled Population Curriculum for Multi-Agent Reinforcement Learning
R. Wang
Longtao Zheng
Wei Qiu
Bowei He
Bo An
Zinovi Rabinovich
Yujing Hu
Yingfeng Chen
Tangjie Lv
Changjie Fan
17
1
0
07 Feb 2023
Best Possible Q-Learning
Best Possible Q-Learning
Jiechuan Jiang
Zongqing Lu
OffRL
18
5
0
02 Feb 2023
Attention-Based Recurrence for Multi-Agent Reinforcement Learning under
  Stochastic Partial Observability
Attention-Based Recurrence for Multi-Agent Reinforcement Learning under Stochastic Partial Observability
Thomy Phan
Fabian Ritz
Philipp Altmann
Maximilian Zorn
Jonas Nusslein
Michael Kolle
Thomas Gabor
Claudia Linnhoff-Popien
22
12
0
04 Jan 2023
Asynchronous Hybrid Reinforcement Learning for Latency and Reliability
  Optimization in the Metaverse over Wireless Communications
Asynchronous Hybrid Reinforcement Learning for Latency and Reliability Optimization in the Metaverse over Wireless Communications
Wen-li Yu
Terence Jie Chua
Jun Zhao
OffRL
11
20
0
30 Dec 2022
Effects of Spectral Normalization in Multi-agent Reinforcement Learning
Effects of Spectral Normalization in Multi-agent Reinforcement Learning
K. Mehta
Anuj Mahajan
Priyesh Kumar
16
7
0
10 Dec 2022
Curriculum Learning for Relative Overgeneralization
Curriculum Learning for Relative Overgeneralization
Lin Shi
Bei Peng
20
1
0
06 Dec 2022
The Design and Realization of Multi-agent Obstacle Avoidance based on
  Reinforcement Learning
The Design and Realization of Multi-agent Obstacle Avoidance based on Reinforcement Learning
Enyu Zhao
Chanjuan Liu
Houfu Su
Yang Liu
AI4CE
12
0
0
24 Oct 2022
Classifying Ambiguous Identities in Hidden-Role Stochastic Games with
  Multi-Agent Reinforcement Learning
Classifying Ambiguous Identities in Hidden-Role Stochastic Games with Multi-Agent Reinforcement Learning
Shijie Han
Siyuan Li
Bo An
Wei Zhao
P. Liu
21
0
0
24 Oct 2022
ELIGN: Expectation Alignment as a Multi-Agent Intrinsic Reward
ELIGN: Expectation Alignment as a Multi-Agent Intrinsic Reward
Zixian Ma
Rose E. Wang
Li Fei-Fei
Michael S. Bernstein
Ranjay Krishna
19
16
0
09 Oct 2022
Entropy Enhanced Multi-Agent Coordination Based on Hierarchical Graph
  Learning for Continuous Action Space
Entropy Enhanced Multi-Agent Coordination Based on Hierarchical Graph Learning for Continuous Action Space
Yining Chen
Ke Wang
Guang-hua Song
Xiaohong Jiang
18
3
0
23 Aug 2022
Quantum Multi-Agent Meta Reinforcement Learning
Quantum Multi-Agent Meta Reinforcement Learning
Won Joon Yun
Jihong Park
Joongheon Kim
19
34
0
22 Aug 2022
Ad Hoc Teamwork in the Presence of Adversaries
Ad Hoc Teamwork in the Presence of Adversaries
Ted Fujimoto
Samrat Chatterjee
A. Ganguly
25
2
0
09 Aug 2022
Multi-agent reinforcement learning for intent-based service assurance in
  cellular networks
Multi-agent reinforcement learning for intent-based service assurance in cellular networks
S. K. Perepu
†. JeanP.Martins
Ricardo Souza
Kaushik Dey
6
2
0
07 Aug 2022
Maximum Correntropy Value Decomposition for Multi-agent Deep
  Reinforcemen Learning
Maximum Correntropy Value Decomposition for Multi-agent Deep Reinforcemen Learning
Kai Liu
Tianxian Zhang
L. Kong
20
0
0
07 Aug 2022
Risk Perspective Exploration in Distributional Reinforcement Learning
Risk Perspective Exploration in Distributional Reinforcement Learning
Ji-Yun Oh
Joonkee Kim
Se-Young Yun
9
5
0
28 Jun 2022
MASER: Multi-Agent Reinforcement Learning with Subgoals Generated from
  Experience Replay Buffer
MASER: Multi-Agent Reinforcement Learning with Subgoals Generated from Experience Replay Buffer
Jeewon Jeon
Woojun Kim
Whiyoung Jung
Young-Jin Sung
13
35
0
20 Jun 2022
Revisiting Some Common Practices in Cooperative Multi-Agent
  Reinforcement Learning
Revisiting Some Common Practices in Cooperative Multi-Agent Reinforcement Learning
Wei Fu
Chao Yu
Zelai Xu
Jiaqi Yang
Yi Wu
24
32
0
15 Jun 2022
RoMFAC: A robust mean-field actor-critic reinforcement learning against
  adversarial perturbations on states
RoMFAC: A robust mean-field actor-critic reinforcement learning against adversarial perturbations on states
Ziyuan Zhou
Guanjun Liu
AAML
30
23
0
15 May 2022
Resilient robot teams: a review integrating decentralised control,
  change-detection, and learning
Resilient robot teams: a review integrating decentralised control, change-detection, and learning
David M. Bossens
Sarvapali Ramchurn
Danesh Tarapore
25
5
0
21 Apr 2022
Distributed Reinforcement Learning for Robot Teams: A Review
Distributed Reinforcement Learning for Robot Teams: A Review
Yutong Wang
Mehul Damani
Pamela Wang
Yuhong Cao
Guillaume Sartoretti
39
22
0
07 Apr 2022
Building Decision Forest via Deep Reinforcement Learning
Building Decision Forest via Deep Reinforcement Learning
Guixuan Wen
Kaigui Wu
9
4
0
01 Apr 2022
Remember and Forget Experience Replay for Multi-Agent Reinforcement
  Learning
Remember and Forget Experience Replay for Multi-Agent Reinforcement Learning
Pascal Weber
Daniel Wälchli
Mustafa Zeqiri
P. Koumoutsakos
CLL
OffRL
8
7
0
24 Mar 2022
PMIC: Improving Multi-Agent Reinforcement Learning with Progressive
  Mutual Information Collaboration
PMIC: Improving Multi-Agent Reinforcement Learning with Progressive Mutual Information Collaboration
Pengyi Li
Hongyao Tang
Tianpei Yang
Xiaotian Hao
Tong Sang
...
Jianye Hao
Matthew E. Taylor
Wenyuan Tao
Zhen Wang
Fazl Barez
11
30
0
16 Mar 2022
Learning to Infer Belief Embedded Communication
Learning to Infer Belief Embedded Communication
Guo Ye
Han Liu
B. Sengupta
13
0
0
15 Mar 2022
Multi-Agent Policy Transfer via Task Relationship Modeling
Multi-Agent Policy Transfer via Task Relationship Modeling
Rongjun Qin
F. Chen
Tonghan Wang
Lei Yuan
Xiaoran Wu
Zongzhang Zhang
Chongjie Zhang
Yang Yu
30
19
0
09 Mar 2022
Hierarchically Structured Scheduling and Execution of Tasks in a
  Multi-Agent Environment
Hierarchically Structured Scheduling and Execution of Tasks in a Multi-Agent Environment
Diogo S. Carvalho
B. Sengupta
17
2
0
06 Mar 2022
Disentangling Successor Features for Coordination in Multi-agent
  Reinforcement Learning
Disentangling Successor Features for Coordination in Multi-agent Reinforcement Learning
Seungchan Kim
Neale Van Stralen
Girish Chowdhary
Huy T. Tran
9
0
0
15 Feb 2022
Revisiting QMIX: Discriminative Credit Assignment by Gradient Entropy
  Regularization
Revisiting QMIX: Discriminative Credit Assignment by Gradient Entropy Regularization
Jian Zhao
Yue Zhang
Xu Hu
Weixun Wang
Wen-gang Zhou
Jianye Hao
Jiangcheng Zhu
Houqiang Li
14
4
0
09 Feb 2022
Value Functions Factorization with Latent State Information Sharing in
  Decentralized Multi-Agent Policy Gradients
Value Functions Factorization with Latent State Information Sharing in Decentralized Multi-Agent Policy Gradients
Hanhan Zhou
Tian-Shing Lan
Vaneet Aggarwal
24
30
0
04 Jan 2022
Self-Organized Polynomial-Time Coordination Graphs
Self-Organized Polynomial-Time Coordination Graphs
Qianlan Yang
Weijun Dong
Zhizhou Ren
Jianhao Wang
Tonghan Wang
Chongjie Zhang
18
16
0
07 Dec 2021
Off-Policy Correction For Multi-Agent Reinforcement Learning
Off-Policy Correction For Multi-Agent Reinforcement Learning
Michał Zawalski
Bla.zej Osiñski
Henryk Michalewski
Piotr Milo's
OffRL
16
2
0
22 Nov 2021
Plan Better Amid Conservatism: Offline Multi-Agent Reinforcement
  Learning with Actor Rectification
Plan Better Amid Conservatism: Offline Multi-Agent Reinforcement Learning with Actor Rectification
L. Pan
Longbo Huang
Tengyu Ma
Huazhe Xu
OffRL
OnRL
25
51
0
22 Nov 2021
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