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Q-value Path Decomposition for Deep Multiagent Reinforcement Learning

Q-value Path Decomposition for Deep Multiagent Reinforcement Learning

10 February 2020
Yaodong Yang
Jianye Hao
Guangyong Chen
Hongyao Tang
Yingfeng Chen
Yujing Hu
Changjie Fan
Zhongyu Wei
ArXivPDFHTML

Papers citing "Q-value Path Decomposition for Deep Multiagent Reinforcement Learning"

27 / 27 papers shown
Title
SrSv: Integrating Sequential Rollouts with Sequential Value Estimation for Multi-agent Reinforcement Learning
Xu Wan
Chao Yang
Cheng Yang
Jie Song
Mingyang Sun
61
0
0
03 Mar 2025
Grounded Answers for Multi-agent Decision-making Problem through
  Generative World Model
Grounded Answers for Multi-agent Decision-making Problem through Generative World Model
Zeyang Liu
Xinrui Yang
Shiguang Sun
Long Qian
Lipeng Wan
Xingyu Chen
Xuguang Lan
22
2
0
03 Oct 2024
Asynchronous Credit Assignment Framework for Multi-Agent Reinforcement
  Learning
Asynchronous Credit Assignment Framework for Multi-Agent Reinforcement Learning
Yongheng Liang
Hejun Wu
Haitao Wang
Hao Cai
41
0
0
07 Aug 2024
Bridging Evolutionary Algorithms and Reinforcement Learning: A
  Comprehensive Survey on Hybrid Algorithms
Bridging Evolutionary Algorithms and Reinforcement Learning: A Comprehensive Survey on Hybrid Algorithms
Pengyi Li
Jianye Hao
Hongyao Tang
Xian Fu
Yan Zheng
Ke Tang
29
9
0
22 Jan 2024
Efficiently Quantifying Individual Agent Importance in Cooperative MARL
Efficiently Quantifying Individual Agent Importance in Cooperative MARL
Omayma Mahjoub
Ruan de Kock
Siddarth S. Singh
Wiem Khlifi
Abidine Vall
Kale-ab Tessera
Arnu Pretorius
FAtt
30
2
0
13 Dec 2023
N$\text{A}^\text{2}$Q: Neural Attention Additive Model for Interpretable
  Multi-Agent Q-Learning
NA2\text{A}^\text{2}A2Q: Neural Attention Additive Model for Interpretable Multi-Agent Q-Learning
Zichuan Liu
Yuanyang Zhu
Chunlin Chen
42
10
0
26 Apr 2023
Cooperative Multi-Agent Reinforcement Learning for Inventory Management
Cooperative Multi-Agent Reinforcement Learning for Inventory Management
Madhav Khirwar
Karthik S. Gurumoorthy
Ankit Jain
Shantala Manchenahally
21
3
0
18 Apr 2023
The challenge of redundancy on multi-agent value factorisation
The challenge of redundancy on multi-agent value factorisation
Siddarth S. Singh
Benjamin Rosman
34
1
0
28 Mar 2023
Adaptive Value Decomposition with Greedy Marginal Contribution
  Computation for Cooperative Multi-Agent Reinforcement Learning
Adaptive Value Decomposition with Greedy Marginal Contribution Computation for Cooperative Multi-Agent Reinforcement Learning
Shanqi Liu
Yujing Hu
Runze Wu
Dongxian Xing
Yu Xiong
Changjie Fan
Kun Kuang
Y. Liu
19
0
0
14 Feb 2023
Learning from Good Trajectories in Offline Multi-Agent Reinforcement
  Learning
Learning from Good Trajectories in Offline Multi-Agent Reinforcement Learning
Qiangxing Tian
Kun Kuang
Furui Liu
Baoxiang Wang
OffRL
23
9
0
28 Nov 2022
Greedy based Value Representation for Optimal Coordination in
  Multi-agent Reinforcement Learning
Greedy based Value Representation for Optimal Coordination in Multi-agent Reinforcement Learning
Lipeng Wan
Zeyang Liu
Xingyu Chen
Xuguang Lan
Han Wang
37
12
0
22 Nov 2022
Learning Heterogeneous Agent Cooperation via Multiagent League Training
Learning Heterogeneous Agent Cooperation via Multiagent League Training
Qing Fu
X. Ai
Jianqiang Yi
Tenghai Qiu
Wanmai Yuan
Zhiqiang Pu
13
7
0
13 Nov 2022
Interaction Pattern Disentangling for Multi-Agent Reinforcement Learning
Interaction Pattern Disentangling for Multi-Agent Reinforcement Learning
Shunyu Liu
Jie Song
Yihe Zhou
Na Yu
Kaixuan Chen
Zunlei Feng
Mingli Song
18
7
0
08 Jul 2022
S2RL: Do We Really Need to Perceive All States in Deep Multi-Agent
  Reinforcement Learning?
S2RL: Do We Really Need to Perceive All States in Deep Multi-Agent Reinforcement Learning?
Shuang Luo
Yinchuan Li
Jiahui Li
Kun Kuang
Furui Liu
Yunfeng Shao
Chao-Xiang Wu
OffRL
16
6
0
20 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
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
23
43
0
28 Mar 2022
Concentration Network for Reinforcement Learning of Large-Scale
  Multi-Agent Systems
Concentration Network for Reinforcement Learning of Large-Scale Multi-Agent Systems
Qing Fu
Tenghai Qiu
Jianqiang Yi
Zhiqiang Pu
Shiguang Wu
17
16
0
12 Mar 2022
Agent-Temporal Attention for Reward Redistribution in Episodic
  Multi-Agent Reinforcement Learning
Agent-Temporal Attention for Reward Redistribution in Episodic Multi-Agent Reinforcement Learning
Baicen Xiao
Bhaskar Ramasubramanian
Radha Poovendran
14
4
0
12 Jan 2022
Offsetting Unequal Competition through RL-assisted Incentive Schemes
Offsetting Unequal Competition through RL-assisted Incentive Schemes
Paramita Koley
Aurghya Maiti
Sourangshu Bhattacharya
Niloy Ganguly
20
1
0
05 Jan 2022
Mean-Field Multi-Agent Reinforcement Learning: A Decentralized Network
  Approach
Mean-Field Multi-Agent Reinforcement Learning: A Decentralized Network Approach
Haotian Gu
Xin Guo
Xiaoli Wei
Renyuan Xu
OOD
27
36
0
05 Aug 2021
Deep Multiagent Reinforcement Learning: Challenges and Directions
Deep Multiagent Reinforcement Learning: Challenges and Directions
Annie Wong
Thomas Bäck
Anna V. Kononova
Aske Plaat
AI4CE
26
87
0
29 Jun 2021
Shapley Counterfactual Credits for Multi-Agent Reinforcement Learning
Shapley Counterfactual Credits for Multi-Agent Reinforcement Learning
Jiahui Li
Kun Kuang
Baoxiang Wang
Furui Liu
Long Chen
Fei Wu
Jun Xiao
OffRL
10
60
0
01 Jun 2021
Modeling the Interaction between Agents in Cooperative Multi-Agent
  Reinforcement Learning
Modeling the Interaction between Agents in Cooperative Multi-Agent Reinforcement Learning
Xiaoteng Ma
Yiqin Yang
Chenghao Li
Yiwen Lu
Qianchuan Zhao
Yang Jun
41
13
0
10 Feb 2021
Cooperative Multi-Agent Reinforcement Learning with Partial Observations
Cooperative Multi-Agent Reinforcement Learning with Partial Observations
Yan Zhang
Michael M. Zavlanos
OffRL
22
22
0
18 Jun 2020
Weighted QMIX: Expanding Monotonic Value Function Factorisation for Deep
  Multi-Agent Reinforcement Learning
Weighted QMIX: Expanding Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning
Tabish Rashid
Gregory Farquhar
Bei Peng
Shimon Whiteson
19
345
0
18 Jun 2020
MAVEN: Multi-Agent Variational Exploration
MAVEN: Multi-Agent Variational Exploration
Anuj Mahajan
Tabish Rashid
Mikayel Samvelyan
Shimon Whiteson
DRL
133
355
0
16 Oct 2019
Methods for Interpreting and Understanding Deep Neural Networks
Methods for Interpreting and Understanding Deep Neural Networks
G. Montavon
Wojciech Samek
K. Müller
FaML
234
2,235
0
24 Jun 2017
1