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Rethinking the Implementation Tricks and Monotonicity Constraint in
  Cooperative Multi-Agent Reinforcement Learning

Rethinking the Implementation Tricks and Monotonicity Constraint in Cooperative Multi-Agent Reinforcement Learning

6 February 2021
Jian Hu
Siyang Jiang
Seth Austin Harding
Haibin Wu
Shihua Liao
ArXivPDFHTML

Papers citing "Rethinking the Implementation Tricks and Monotonicity Constraint in Cooperative Multi-Agent Reinforcement Learning"

21 / 21 papers shown
Title
Rainbow Delay Compensation: A Multi-Agent Reinforcement Learning Framework for Mitigating Delayed Observation
Rainbow Delay Compensation: A Multi-Agent Reinforcement Learning Framework for Mitigating Delayed Observation
Songchen Fu
Siang Chen
Shaojing Zhao
Letian Bai
Ta Li
Yonghong Yan
32
0
0
06 May 2025
Deep Meta Coordination Graphs for Multi-agent Reinforcement Learning
Deep Meta Coordination Graphs for Multi-agent Reinforcement Learning
Nikunj Gupta
James Zachary Hare
Rajgopal Kannan
Viktor Prasanna
GNN
76
0
0
06 Feb 2025
Individual Contributions as Intrinsic Exploration Scaffolds for
  Multi-agent Reinforcement Learning
Individual Contributions as Intrinsic Exploration Scaffolds for Multi-agent Reinforcement Learning
Xinran Li
Zifan Liu
Shibo Chen
Jun Zhang
37
2
0
28 May 2024
Variational Offline Multi-agent Skill Discovery
Variational Offline Multi-agent Skill Discovery
Jiayu Chen
Bhargav Ganguly
Tian-Shing Lan
OffRL
69
1
0
26 May 2024
POWQMIX: Weighted Value Factorization with Potentially Optimal Joint Actions Recognition for Cooperative Multi-Agent Reinforcement Learning
POWQMIX: Weighted Value Factorization with Potentially Optimal Joint Actions Recognition for Cooperative Multi-Agent Reinforcement Learning
Chang Huang
Junqiao Zhao
Shatong Zhu
Hongtu Zhou
Chen Ye
T. Feng
Changjun Jiang
28
0
0
13 May 2024
GRSN: Gated Recurrent Spiking Neurons for POMDPs and MARL
GRSN: Gated Recurrent Spiking Neurons for POMDPs and MARL
Lang Qin
Ziming Wang
Runhao Jiang
Rui Yan
Huajin Tang
38
0
0
24 Apr 2024
BenchMARL: Benchmarking Multi-Agent Reinforcement Learning
BenchMARL: Benchmarking Multi-Agent Reinforcement Learning
Matteo Bettini
Amanda Prorok
Vincent Moens
OffRL
36
15
0
03 Dec 2023
QFree: A Universal Value Function Factorization for Multi-Agent
  Reinforcement Learning
QFree: A Universal Value Function Factorization for Multi-Agent Reinforcement Learning
Rizhong Wang
Huiping Li
Di Cui
Demin Xu
OffRL
24
0
0
01 Nov 2023
Learning Cyber Defence Tactics from Scratch with Multi-Agent
  Reinforcement Learning
Learning Cyber Defence Tactics from Scratch with Multi-Agent Reinforcement Learning
Jacob Wiebe
Ranwa Al Mallah
Li Li
AAML
36
3
0
25 Aug 2023
QuadSwarm: A Modular Multi-Quadrotor Simulator for Deep Reinforcement
  Learning with Direct Thrust Control
QuadSwarm: A Modular Multi-Quadrotor Simulator for Deep Reinforcement Learning with Direct Thrust Control
Zhehui Huang
Sumeet Batra
Tao Chen
Rahul Krupani
T. Kumar
Artem Molchanov
Aleksei Petrenko
James A. Preiss
Zhaojing Yang
Gaurav Sukhatme
26
6
0
15 Jun 2023
Best Possible Q-Learning
Best Possible Q-Learning
Jiechuan Jiang
Zongqing Lu
OffRL
25
5
0
02 Feb 2023
Self-Motivated Multi-Agent Exploration
Self-Motivated Multi-Agent Exploration
Shaowei Zhang
Jiahan Cao
Lei Yuan
Yang Yu
De-Chuan Zhan
47
5
0
05 Jan 2023
SMACv2: An Improved Benchmark for Cooperative Multi-Agent Reinforcement
  Learning
SMACv2: An Improved Benchmark for Cooperative Multi-Agent Reinforcement Learning
Benjamin Ellis
Jonathan Cook
S. Moalla
Mikayel Samvelyan
Mingfei Sun
Anuj Mahajan
Jakob N. Foerster
Shimon Whiteson
19
83
0
14 Dec 2022
Curriculum Learning for Relative Overgeneralization
Curriculum Learning for Relative Overgeneralization
Lin Shi
Bei Peng
28
1
0
06 Dec 2022
PTDE: Personalized Training with Distilled Execution for Multi-Agent
  Reinforcement Learning
PTDE: Personalized Training with Distilled Execution for Multi-Agent Reinforcement Learning
Yiqun Chen
Hangyu Mao
Jiaxin Mao
Shiguang Wu
Tianle Zhang
Bin Zhang
Bin Wang
Hong Chang
OffRL
38
7
0
17 Oct 2022
Towards a Standardised Performance Evaluation Protocol for Cooperative
  MARL
Towards a Standardised Performance Evaluation Protocol for Cooperative MARL
R. Gorsane
Omayma Mahjoub
Ruan de Kock
Roland Dubb
Siddarth S. Singh
Arnu Pretorius
OffRL
39
49
0
21 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
36
6
0
17 Sep 2022
MIXRTs: Toward Interpretable Multi-Agent Reinforcement Learning via Mixing Recurrent Soft Decision Trees
MIXRTs: Toward Interpretable Multi-Agent Reinforcement Learning via Mixing Recurrent Soft Decision Trees
Zichuan Liu
Zichuan Liu
Zhi Wang
Yuanyang Zhu
Chunlin Chen
63
5
0
15 Sep 2022
SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for
  Autonomous Driving
SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for Autonomous Driving
Ming Zhou
Jun Luo
Julian Villela
Yaodong Yang
David Rusu
...
H. Ammar
Hongbo Zhang
Wulong Liu
Jianye Hao
Jun Wang
139
193
0
19 Oct 2020
Value-Decomposition Multi-Agent Actor-Critics
Value-Decomposition Multi-Agent Actor-Critics
Jianyu Su
Stephen C. Adams
Peter A. Beling
68
101
0
24 Jul 2020
MAVEN: Multi-Agent Variational Exploration
MAVEN: Multi-Agent Variational Exploration
Anuj Mahajan
Tabish Rashid
Mikayel Samvelyan
Shimon Whiteson
DRL
140
355
0
16 Oct 2019
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