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1809.03738
Cited By
Factorized Q-Learning for Large-Scale Multi-Agent Systems
11 September 2018
M. Zhou
Yong Chen
Ying Wen
Yaodong Yang
Yufeng Su
Weinan Zhang
Dell Zhang
Jun Wang
AI4CE
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Papers citing
"Factorized Q-Learning for Large-Scale Multi-Agent Systems"
31 / 31 papers shown
Title
SPECTra: Scalable Multi-Agent Reinforcement Learning with Permutation-Free Networks
Hyunwoo Park
Baekryun Seong
Sang-Ki Ko
GNN
60
0
0
14 Mar 2025
Diffusion Models for Offline Multi-agent Reinforcement Learning with Safety Constraints
Jianuo Huang
OffRL
27
0
0
30 Jun 2024
Matrix Low-Rank Trust Region Policy Optimization
Sergio Rozada
Antonio G. Marques
41
0
0
27 May 2024
Will GPT-4 Run DOOM?
Adrian de Wynter
LM&Ro
MLLM
41
5
0
08 Mar 2024
Leveraging Factored Action Spaces for Off-Policy Evaluation
Aaman Rebello
Shengpu Tang
Jenna Wiens
Sonali Parbhoo Department of Engineering
CML
OffRL
18
2
0
13 Jul 2023
Learning Multi-Agent Intention-Aware Communication for Optimal Multi-Order Execution in Finance
Yuchen Fang
Zhen-Yu Tang
Kan Ren
Weiqing Liu
Li Zhao
Jiang Bian
Dongsheng Li
Weinan Zhang
Yong Yu
Tie-Yan Liu
28
7
0
06 Jul 2023
Towards Efficient Multi-Agent Learning Systems
Kailash Gogineni
Peng Wei
Tian-Shing Lan
Guru Venkataramani
27
4
0
22 May 2023
Leveraging Factored Action Spaces for Efficient Offline Reinforcement Learning in Healthcare
Shengpu Tang
Maggie Makar
Michael Sjoding
Finale Doshi-Velez
Jenna Wiens
OffRL
48
37
0
02 May 2023
A General Learning Framework for Open Ad Hoc Teamwork Using Graph-based Policy Learning
Arrasy Rahman
Ignacio Carlucho
Niklas Höpner
Stefano V. Albrecht
42
8
0
11 Oct 2022
UNMAS: Multi-Agent Reinforcement Learning for Unshaped Cooperative Scenarios
Jiajun Chai
Weifan Li
Yuanheng Zhu
Dongbin Zhao
Zhe Ma
Kewu Sun
Jishiyu Ding
33
43
0
28 Mar 2022
PooL: Pheromone-inspired Communication Framework forLarge Scale Multi-Agent Reinforcement Learning
Zixuan Cao
Mengzhi Shi
Zhanbo Zhao
Xiujun Ma
32
0
0
20 Feb 2022
Reinforcement Learning in Factored Action Spaces using Tensor Decompositions
Anuj Mahajan
Mikayel Samvelyan
Lei Mao
Viktor Makoviychuk
Animesh Garg
Jean Kossaifi
Shimon Whiteson
Yuke Zhu
Anima Anandkumar
27
9
0
27 Oct 2021
Multi-Agent Constrained Policy Optimisation
Shangding Gu
J. Kuba
Munning Wen
Ruiqing Chen
Ziyan Wang
Zheng Tian
Jun Wang
Alois Knoll
Yaodong Yang
98
49
0
06 Oct 2021
Settling the Variance of Multi-Agent Policy Gradients
J. Kuba
Muning Wen
Yaodong Yang
Linghui Meng
Shangding Gu
Haifeng Zhang
D. Mguni
Jun Wang
24
58
0
19 Aug 2021
Tesseract: Tensorised Actors for Multi-Agent Reinforcement Learning
Anuj Mahajan
Mikayel Samvelyan
Lei Mao
Viktor Makoviychuk
Animesh Garg
Jean Kossaifi
Shimon Whiteson
Yuke Zhu
Anima Anandkumar
26
32
0
31 May 2021
Multi-Agent Deep Reinforcement Learning using Attentive Graph Neural Architectures for Real-Time Strategy Games
Won Joon Yun
Sungwon Yi
Joongheon Kim
20
10
0
21 May 2021
Adversarial Inverse Reinforcement Learning for Mean Field Games
Yang Chen
Libo Zhang
Jiamou Liu
Michael Witbrock
AI4CE
49
6
0
29 Apr 2021
Low-rank State-action Value-function Approximation
Sergio Rozada
Victor M. Tenorio
A. Marques
OffRL
26
9
0
18 Apr 2021
KnowRU: Knowledge Reusing via Knowledge Distillation in Multi-agent Reinforcement Learning
Zijian Gao
Kele Xu
Bo Ding
Huaimin Wang
Yiying Li
Hongda Jia
36
15
0
27 Mar 2021
Event-Triggered Multi-agent Reinforcement Learning with Communication under Limited-bandwidth Constraint
Guangzhen Hu
Yuanheng Zhu
Dongbin Zhao
Mengchen Zhao
Jianye Hao
11
17
0
10 Oct 2020
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
16
270
0
30 Sep 2020
Towards Open Ad Hoc Teamwork Using Graph-based Policy Learning
Arrasy Rahman
Niklas Höpner
Filippos Christianos
Stefano V. Albrecht
22
54
0
18 Jun 2020
Multi-Agent Determinantal Q-Learning
Yaodong Yang
Ying Wen
Lihuan Chen
Jun Wang
Kun Shao
D. Mguni
Weinan Zhang
18
71
0
02 Jun 2020
Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning
Tabish Rashid
Mikayel Samvelyan
Christian Schroeder de Witt
Gregory Farquhar
Jakob N. Foerster
Shimon Whiteson
47
768
0
19 Mar 2020
Multi-Agent Game Abstraction via Graph Attention Neural Network
Y. Liu
Weixun Wang
Yujing Hu
Jianye Hao
Xingguo Chen
Yang Gao
22
239
0
25 Nov 2019
Deep Coordination Graphs
Wendelin Bohmer
Vitaly Kurin
Shimon Whiteson
GNN
21
174
0
27 Sep 2019
From Few to More: Large-scale Dynamic Multiagent Curriculum Learning
Weixun Wang
Tianpei Yang
Y. Liu
Jianye Hao
Xiaotian Hao
Yujing Hu
Yingfeng Chen
Changjie Fan
Yang Gao
AI4CE
18
110
0
06 Sep 2019
QTRAN: Learning to Factorize with Transformation for Cooperative Multi-Agent Reinforcement Learning
Kyunghwan Son
Daewoo Kim
Wan Ju Kang
D. Hostallero
Yung Yi
OffRL
23
785
0
14 May 2019
Modelling Bounded Rationality in Multi-Agent Interactions by Generalized Recursive Reasoning
Ying Wen
Yaodong Yang
Rui Luo
Jun Wang
LRM
24
52
0
26 Jan 2019
QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning
Tabish Rashid
Mikayel Samvelyan
Christian Schroeder de Witt
Gregory Farquhar
Jakob N. Foerster
Shimon Whiteson
46
1,654
0
30 Mar 2018
Value function approximation via low-rank models
H. Ong
OffRL
36
20
0
31 Aug 2015
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