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Learning Multiagent Communication with Backpropagation

Learning Multiagent Communication with Backpropagation

25 May 2016
Sainbayar Sukhbaatar
Arthur Szlam
Rob Fergus
ArXivPDFHTML

Papers citing "Learning Multiagent Communication with Backpropagation"

50 / 530 papers shown
Title
Measuring Policy Distance for Multi-Agent Reinforcement Learning
Measuring Policy Distance for Multi-Agent Reinforcement Learning
Tianyi Hu
Zhiqiang Pu
Xiaolin Ai
Tenghai Qiu
Jianqiang Yi
27
1
0
20 Jan 2024
T2MAC: Targeted and Trusted Multi-Agent Communication through Selective
  Engagement and Evidence-Driven Integration
T2MAC: Targeted and Trusted Multi-Agent Communication through Selective Engagement and Evidence-Driven Integration
Chuxiong Sun
Zehua Zang
Jiabao Li
Jiangmeng Li
Xiao Xu
Rui Wang
Changwen Zheng
22
8
0
19 Jan 2024
Decentralised Emergence of Robust and Adaptive Linguistic Conventions in
  Populations of Autonomous Agents Grounded in Continuous Worlds
Decentralised Emergence of Robust and Adaptive Linguistic Conventions in Populations of Autonomous Agents Grounded in Continuous Worlds
Jérôme Botoko Ekila
Jens Nevens
Lara Verheyen
Katrien Beuls
Paul Van Eecke
12
3
0
16 Jan 2024
Slot Structured World Models
Slot Structured World Models
Jonathan Collu
Riccardo Majellaro
Aske Plaat
Thomas M. Moerland
OCL
38
1
0
08 Jan 2024
ClusterComm: Discrete Communication in Decentralized MARL using Internal
  Representation Clustering
ClusterComm: Discrete Communication in Decentralized MARL using Internal Representation Clustering
Robert Muller
Hasan Turalic
Thomy Phan
Michael Kolle
Jonas Nusslein
Claudia Linnhoff-Popien
OffRL
42
1
0
07 Jan 2024
Context-aware Communication for Multi-agent Reinforcement Learning
Context-aware Communication for Multi-agent Reinforcement Learning
Xinran Li
Jun Zhang
25
7
0
25 Dec 2023
Cautiously-Optimistic Knowledge Sharing for Cooperative Multi-Agent
  Reinforcement Learning
Cautiously-Optimistic Knowledge Sharing for Cooperative Multi-Agent Reinforcement Learning
Yanwen Ba
Xuan Liu
Xinning Chen
Hao Wang
Yang Xu
Kenli Li
Shigeng Zhang
28
2
0
19 Dec 2023
Multi-agent Reinforcement Learning: A Comprehensive Survey
Multi-agent Reinforcement Learning: A Comprehensive Survey
Dom Huh
Prasant Mohapatra
AI4CE
36
8
0
15 Dec 2023
Noise Distribution Decomposition based Multi-Agent Distributional
  Reinforcement Learning
Noise Distribution Decomposition based Multi-Agent Distributional Reinforcement Learning
Wei Geng
Baidi Xiao
Rongpeng Li
Ning Wei
Dong Wang
Zhifeng Zhao
25
1
0
12 Dec 2023
A Review of Cooperation in Multi-agent Learning
A Review of Cooperation in Multi-agent Learning
Yali Du
Joel Z Leibo
Usman Islam
Richard Willis
P. Sunehag
43
31
0
08 Dec 2023
Attention-Guided Contrastive Role Representations for Multi-Agent
  Reinforcement Learning
Attention-Guided Contrastive Role Representations for Multi-Agent Reinforcement Learning
Zican Hu
Zongzhang Zhang
Huaxiong Li
Chunlin Chen
Hongyu Ding
Zhi Wang
62
8
0
08 Dec 2023
HOT: Higher-Order Dynamic Graph Representation Learning with Efficient
  Transformers
HOT: Higher-Order Dynamic Graph Representation Learning with Efficient Transformers
Maciej Besta
Afonso Claudino Catarino
Lukas Gianinazzi
Nils Blach
Piotr Nyczyk
H. Niewiadomski
Torsten Hoefler
35
6
0
30 Nov 2023
Learning to Cooperate and Communicate Over Imperfect Channels
Learning to Cooperate and Communicate Over Imperfect Channels
Jannis Weil
Gizem Ekinci
Heinz Koeppl
Tobias Meuser
23
0
0
24 Nov 2023
RiskQ: Risk-sensitive Multi-Agent Reinforcement Learning Value
  Factorization
RiskQ: Risk-sensitive Multi-Agent Reinforcement Learning Value Factorization
Siqi Shen
Chennan Ma
Chao Li
Weiquan Liu
Yongquan Fu
Songzhu Mei
Xinwang Liu
Cheng-Yu Wang
23
10
0
03 Nov 2023
Selectively Sharing Experiences Improves Multi-Agent Reinforcement
  Learning
Selectively Sharing Experiences Improves Multi-Agent Reinforcement Learning
M. Gerstgrasser
Tom Danino
Sarah Keren
29
5
0
01 Nov 2023
Habitat 3.0: A Co-Habitat for Humans, Avatars and Robots
Habitat 3.0: A Co-Habitat for Humans, Avatars and Robots
Xavi Puig
Eric Undersander
Andrew Szot
Mikael Dallaire Cote
Tsung-Yen Yang
...
Singh Chaplot
Unnat Jain
Dhruv Batra
†. AksharaRai
†. RoozbehMottaghi
16
116
0
19 Oct 2023
Replication of Multi-agent Reinforcement Learning for the "Hide and
  Seek" Problem
Replication of Multi-agent Reinforcement Learning for the "Hide and Seek" Problem
Haider Kamal
M. Niazi
Hammad Afzal
32
0
0
09 Oct 2023
Multi-Agent Reinforcement Learning Based on Representational
  Communication for Large-Scale Traffic Signal Control
Multi-Agent Reinforcement Learning Based on Representational Communication for Large-Scale Traffic Signal Control
Rohit Bokade
Xiaoning Jin
Chris Amato
38
10
0
03 Oct 2023
COMPOSER: Scalable and Robust Modular Policies for Snake Robots
COMPOSER: Scalable and Robust Modular Policies for Snake Robots
Yuyou Zhang
Yaru Niu
Xingyu Liu
Ding Zhao
24
2
0
02 Oct 2023
Collaborative Information Dissemination with Graph-based Multi-Agent
  Reinforcement Learning
Collaborative Information Dissemination with Graph-based Multi-Agent Reinforcement Learning
Raffaele Galliera
K. Venable
Matteo Bassani
N. Suri
24
1
0
25 Aug 2023
FoX: Formation-aware exploration in multi-agent reinforcement learning
FoX: Formation-aware exploration in multi-agent reinforcement learning
Yonghyeon Jo
Sunwoo Lee
Junghyuk Yum
Seungyul Han
35
5
0
22 Aug 2023
CoMIX: A Multi-agent Reinforcement Learning Training Architecture for
  Efficient Decentralized Coordination and Independent Decision-Making
CoMIX: A Multi-agent Reinforcement Learning Training Architecture for Efficient Decentralized Coordination and Independent Decision-Making
Giovanni Minelli
Mirco Musolesi
33
0
0
21 Aug 2023
Towards Few-shot Coordination: Revisiting Ad-hoc Teamplay Challenge In
  the Game of Hanabi
Towards Few-shot Coordination: Revisiting Ad-hoc Teamplay Challenge In the Game of Hanabi
Hadi Nekoei
Xutong Zhao
Janarthanan Rajendran
Miao Liu
Sarath Chandar
25
4
0
20 Aug 2023
Intelligent Communication Planning for Constrained Environmental IoT
  Sensing with Reinforcement Learning
Intelligent Communication Planning for Constrained Environmental IoT Sensing with Reinforcement Learning
Yi Hu
Jinhang Zuo
Bob Iannucci
Carlee Joe-Wong
16
2
0
19 Aug 2023
DPMAC: Differentially Private Communication for Cooperative Multi-Agent
  Reinforcement Learning
DPMAC: Differentially Private Communication for Cooperative Multi-Agent Reinforcement Learning
Canzhe Zhao
Yanjie Ze
Jing Dong
Baoxiang Wang
Shuai Li
25
2
0
19 Aug 2023
An In-Depth Analysis of Discretization Methods for Communication
  Learning using Backpropagation with Multi-Agent Reinforcement Learning
An In-Depth Analysis of Discretization Methods for Communication Learning using Backpropagation with Multi-Agent Reinforcement Learning
Astrid Vanneste
Simon Vanneste
Kevin Mets
Tom De Schepper
Siegfried Mercelis
P. Hellinckx
19
0
0
09 Aug 2023
Scalability of Message Encoding Techniques for Continuous Communication
  Learned with Multi-Agent Reinforcement Learning
Scalability of Message Encoding Techniques for Continuous Communication Learned with Multi-Agent Reinforcement Learning
Astrid Vanneste
Thomas Somers
Simon Vanneste
Kevin Mets
Tom De Schepper
Siegfried Mercelis
P. Hellinckx
22
0
0
09 Aug 2023
RGMComm: Return Gap Minimization via Discrete Communications in
  Multi-Agent Reinforcement Learning
RGMComm: Return Gap Minimization via Discrete Communications in Multi-Agent Reinforcement Learning
Jingdi Chen
Tian-Shing Lan
Carlee Joe-Wong
17
15
0
07 Aug 2023
Quantum Multi-Agent Reinforcement Learning for Autonomous Mobility
  Cooperation
Quantum Multi-Agent Reinforcement Learning for Autonomous Mobility Cooperation
Soohyun Park
Jae Pyoung Kim
C. Park
Soyi Jung
Joongheon Kim
37
21
0
03 Aug 2023
Towards More Human-like AI Communication: A Review of Emergent
  Communication Research
Towards More Human-like AI Communication: A Review of Emergent Communication Research
Nicolo’ Brandizzi
47
12
0
01 Aug 2023
Spatio-Temporal Domain Awareness for Multi-Agent Collaborative
  Perception
Spatio-Temporal Domain Awareness for Multi-Agent Collaborative Perception
Kun Yang
Dingkang Yang
Jingyu Zhang
Mingcheng Li
Yang Liu
Jing Liu
Hanqi Wang
Peng Sun
Liang Song
37
50
0
26 Jul 2023
An Analysis of Multi-Agent Reinforcement Learning for Decentralized
  Inventory Control Systems
An Analysis of Multi-Agent Reinforcement Learning for Decentralized Inventory Control Systems
Marwan Mousa
Damien van de Berg
Niki Kotecha
Ehecatl Antonio del Rio Chanona
M. Mowbray
41
13
0
21 Jul 2023
Two Tales of Platoon Intelligence for Autonomous Mobility Control:
  Enabling Deep Learning Recipes
Two Tales of Platoon Intelligence for Autonomous Mobility Control: Enabling Deep Learning Recipes
Soohyun Park
Haemin Lee
C. Park
Soyi Jung
Minseok Choi
Joongheon Kim
33
2
0
19 Jul 2023
QMNet: Importance-Aware Message Exchange for Decentralized Multi-Agent
  Reinforcement Learning
QMNet: Importance-Aware Message Exchange for Decentralized Multi-Agent Reinforcement Learning
Xiufeng Huang
Sheng Zhou
16
1
0
18 Jul 2023
Control as Probabilistic Inference as an Emergent Communication
  Mechanism in Multi-Agent Reinforcement Learning
Control as Probabilistic Inference as an Emergent Communication Mechanism in Multi-Agent Reinforcement Learning
Tomoaki Nakamura
Akira Taniguchi
T. Taniguchi
AI4CE
13
1
0
11 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
36
7
0
06 Jul 2023
Learning Multi-Agent Communication with Contrastive Learning
Learning Multi-Agent Communication with Contrastive Learning
Y. Lo
B. Sengupta
Jakob N. Foerster
Michael Noukhovitch
49
5
0
03 Jul 2023
Torsion Graph Neural Networks
Torsion Graph Neural Networks
Cong Shen
Xiang Liu
Jiawei Luo
Kelin Xia
37
0
0
23 Jun 2023
Discovering Causality for Efficient Cooperation in Multi-Agent
  Environments
Discovering Causality for Efficient Cooperation in Multi-Agent Environments
Rafael Pina
V. D. Silva
Corentin Artaud
36
2
0
20 Jun 2023
CAMMARL: Conformal Action Modeling in Multi Agent Reinforcement Learning
CAMMARL: Conformal Action Modeling in Multi Agent Reinforcement Learning
Nikunj Gupta
Somjit Nath
Samira Ebrahimi Kahou
28
0
0
19 Jun 2023
Dynamic Size Message Scheduling for Multi-Agent Communication under
  Limited Bandwidth
Dynamic Size Message Scheduling for Multi-Agent Communication under Limited Bandwidth
Qingshuang Sun
Denis Steckelmacher
Yuan Yao
Ann Nowé
Raphael Avalos
AI4CE
29
0
0
16 Jun 2023
Hierarchical Task Network Planning for Facilitating Cooperative
  Multi-Agent Reinforcement Learning
Hierarchical Task Network Planning for Facilitating Cooperative Multi-Agent Reinforcement Learning
Xuechen Mu
H. Zhuo
Chong Chen
Kai Zhang
Chao Yu
Jianye Hao
43
1
0
14 Jun 2023
Multi-Agent Reinforcement Learning for Cooperative Air Transportation
  Services in City-Wide Autonomous Urban Air Mobility
Multi-Agent Reinforcement Learning for Cooperative Air Transportation Services in City-Wide Autonomous Urban Air Mobility
C. Park
Gyusun Kim
Soohyun Park
Soyi Jung
Joongheon Kim
16
19
0
07 Jun 2023
Inductive Bias for Emergent Communication in a Continuous Setting
Inductive Bias for Emergent Communication in a Continuous Setting
John Isak Fjellvang Villanger
T. Bojesen
AI4CE
27
0
0
06 Jun 2023
Collaborative Multi-Agent Video Fast-Forwarding
Collaborative Multi-Agent Video Fast-Forwarding
Shuyue Lan
Zhilu Wang
Ermin Wei
A. Roy-Chowdhury
Qi Zhu
36
3
0
27 May 2023
Is Centralized Training with Decentralized Execution Framework Centralized Enough for MARL?
Is Centralized Training with Decentralized Execution Framework Centralized Enough for MARL?
Yihe Zhou
Shunyu Liu
Yunpeng Qing
Kaixuan Chen
Tongya Zheng
Jie Song
Mingli Song
34
18
0
27 May 2023
The Evolution of Distributed Systems for Graph Neural Networks and their
  Origin in Graph Processing and Deep Learning: A Survey
The Evolution of Distributed Systems for Graph Neural Networks and their Origin in Graph Processing and Deep Learning: A Survey
Jana Vatter
R. Mayer
Hans-Arno Jacobsen
GNN
AI4TS
AI4CE
48
23
0
23 May 2023
Multi-Agent Reinforcement Learning: Methods, Applications, Visionary
  Prospects, and Challenges
Multi-Agent Reinforcement Learning: Methods, Applications, Visionary Prospects, and Challenges
Ziyuan Zhou
Guanjun Liu
Ying-Si Tang
33
14
0
17 May 2023
Communication-Robust Multi-Agent Learning by Adaptable Auxiliary
  Multi-Agent Adversary Generation
Communication-Robust Multi-Agent Learning by Adaptable Auxiliary Multi-Agent Adversary Generation
Lei Yuan
F. Chen
Zhongzhan Zhang
Yang Yu
AAML
49
10
0
09 May 2023
Information Design in Multi-Agent Reinforcement Learning
Information Design in Multi-Agent Reinforcement Learning
Yue Lin
Wenhao Li
H. Zha
Baoxiang Wang
29
10
0
08 May 2023
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