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Factorized Q-Learning for Large-Scale Multi-Agent Systems

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
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
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
Matrix Low-Rank Trust Region Policy Optimization
Sergio Rozada
Antonio G. Marques
41
0
0
27 May 2024
Will GPT-4 Run DOOM?
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
Leveraging Factored Action Spaces for Off-Policy Evaluation
Aaman Rebello
Shengpu Tang
Jenna Wiens
Sonali Parbhoo Department of Engineering
CML
OffRL
16
2
0
13 Jul 2023
Learning Multi-Agent Intention-Aware Communication for Optimal
  Multi-Order Execution in Finance
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
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
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
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
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
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
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
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
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
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
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
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
Low-rank State-action Value-function Approximation
Sergio Rozada
Victor M. Tenorio
A. Marques
OffRL
24
9
0
18 Apr 2021
KnowRU: Knowledge Reusing via Knowledge Distillation in Multi-agent
  Reinforcement Learning
KnowRU: Knowledge Reusing via Knowledge Distillation in Multi-agent Reinforcement Learning
Zijian Gao
Kele Xu
Bo Ding
Huaimin Wang
Yiying Li
Hongda Jia
34
15
0
27 Mar 2021
Event-Triggered Multi-agent Reinforcement Learning with Communication
  under Limited-bandwidth Constraint
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
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
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
Multi-Agent Determinantal Q-Learning
Yaodong Yang
Ying Wen
Lihuan Chen
Jun Wang
Kun Shao
D. Mguni
Weinan Zhang
16
71
0
02 Jun 2020
Monotonic Value Function Factorisation for Deep Multi-Agent
  Reinforcement Learning
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
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
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
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
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
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
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
Value function approximation via low-rank models
H. Ong
OffRL
36
20
0
31 Aug 2015
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