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Divergence-Regularized Multi-Agent Actor-Critic

Divergence-Regularized Multi-Agent Actor-Critic

1 October 2021
Kefan Su
Zongqing Lu
ArXivPDFHTML

Papers citing "Divergence-Regularized Multi-Agent Actor-Critic"

15 / 15 papers shown
Title
Fully Decentralized Cooperative Multi-Agent Reinforcement Learning: A
  Survey
Fully Decentralized Cooperative Multi-Agent Reinforcement Learning: A Survey
Jiechuan Jiang
Kefan Su
Zongqing Lu
25
3
0
10 Jan 2024
Seeking Next Layer Neurons' Attention for Error-Backpropagation-Like
  Training in a Multi-Agent Network Framework
Seeking Next Layer Neurons' Attention for Error-Backpropagation-Like Training in a Multi-Agent Network Framework
Arshia Soltani Moakhar
Mohammad Azizmalayeri
Hossein Mirzaei
M. T. Manzuri
M. Rohban
16
2
0
15 Oct 2023
Offline Multi-Agent Reinforcement Learning with Implicit Global-to-Local
  Value Regularization
Offline Multi-Agent Reinforcement Learning with Implicit Global-to-Local Value Regularization
Xiangsen Wang
Haoran Xu
Yinan Zheng
Xianyuan Zhan
OffRL
21
23
0
21 Jul 2023
Networked Communication for Decentralised Agents in Mean-Field Games
Networked Communication for Decentralised Agents in Mean-Field Games
Patrick Benjamin
Alessandro Abate
FedML
28
2
0
05 Jun 2023
MAC-PO: Multi-Agent Experience Replay via Collective Priority
  Optimization
MAC-PO: Multi-Agent Experience Replay via Collective Priority Optimization
Yongsheng Mei
Hanhan Zhou
Tian-Shing Lan
Guru Venkataramani
Peng Wei
33
38
0
21 Feb 2023
ReMIX: Regret Minimization for Monotonic Value Function Factorization in
  Multiagent Reinforcement Learning
ReMIX: Regret Minimization for Monotonic Value Function Factorization in Multiagent Reinforcement Learning
Yongsheng Mei
Hanhan Zhou
Tian-Shing Lan
11
11
0
11 Feb 2023
Best Possible Q-Learning
Best Possible Q-Learning
Jiechuan Jiang
Zongqing Lu
OffRL
8
5
0
02 Feb 2023
Opponent-aware Role-based Learning in Team Competitive Markov Games
Opponent-aware Role-based Learning in Team Competitive Markov Games
Paramita Koley
Aurghya Maiti
Niloy Ganguly
Sourangshu Bhattacharya
19
1
0
14 Jan 2023
Decentralized Policy Optimization
Decentralized Policy Optimization
Kefan Su
Zongqing Lu
11
8
0
06 Nov 2022
More Centralized Training, Still Decentralized Execution: Multi-Agent
  Conditional Policy Factorization
More Centralized Training, Still Decentralized Execution: Multi-Agent Conditional Policy Factorization
Jiangxing Wang
Deheng Ye
Zongqing Lu
OffRL
33
18
0
26 Sep 2022
MA2QL: A Minimalist Approach to Fully Decentralized Multi-Agent
  Reinforcement Learning
MA2QL: A Minimalist Approach to Fully Decentralized Multi-Agent Reinforcement Learning
Kefan Su
Siyuan Zhou
Jiechuan Jiang
Chuang Gan
Xiangjun Wang
Zongqing Lu
OffRL
28
6
0
17 Sep 2022
FCSN: Global Context Aware Segmentation by Learning the Fourier
  Coefficients of Objects in Medical Images
FCSN: Global Context Aware Segmentation by Learning the Fourier Coefficients of Objects in Medical Images
Y. Jeon
Hongfei Yang
Mengling Feng
11
2
0
29 Jul 2022
Learning to Share in Multi-Agent Reinforcement Learning
Learning to Share in Multi-Agent Reinforcement Learning
Yuxuan Yi
G. Li
Yaowei Wang
Zongqing Lu
12
13
0
16 Dec 2021
Exploring Complicated Search Spaces with Interleaving-Free Sampling
Exploring Complicated Search Spaces with Interleaving-Free Sampling
Yunjie Tian
Lingxi Xie
Jiemin Fang
Jianbin Jiao
QiXiang Ye
Qi Tian
16
0
0
05 Dec 2021
Offline Decentralized Multi-Agent Reinforcement Learning
Offline Decentralized Multi-Agent Reinforcement Learning
Jiechuan Jiang
Zongqing Lu
OffRL
8
37
0
04 Aug 2021
1