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Learning to Communicate with Deep Multi-Agent Reinforcement Learning

Learning to Communicate with Deep Multi-Agent Reinforcement Learning

21 May 2016
Jakob N. Foerster
Yannis Assael
Nando de Freitas
Shimon Whiteson
ArXivPDFHTML

Papers citing "Learning to Communicate with Deep Multi-Agent Reinforcement Learning"

50 / 260 papers shown
Title
Internet of Agents: Fundamentals, Applications, and Challenges
Internet of Agents: Fundamentals, Applications, and Challenges
Yuntao Wang
Shaolong Guo
Yanghe Pan
Zhou Su
Fahao Chen
Tom H. Luan
Peng Li
Jiawen Kang
Dusit Niyato
LLMAG
LM&Ro
AI4CE
60
0
0
12 May 2025
Interpretable Emergent Language Using Inter-Agent Transformers
Interpretable Emergent Language Using Inter-Agent Transformers
Mannan Bhardwaj
AI4CE
88
0
0
04 May 2025
Don't lie to your friends: Learning what you know from collaborative self-play
Don't lie to your friends: Learning what you know from collaborative self-play
Jacob Eisenstein
Reza Aghajani
Adam Fisch
Dheeru Dua
Fantine Huot
Mirella Lapata
Vicky Zayats
Jonathan Berant
72
0
0
18 Mar 2025
Multi-Robot Collaboration through Reinforcement Learning and Abstract Simulation
Adam Labiosa
Josiah P. Hanna
49
0
0
07 Mar 2025
Learning to Negotiate via Voluntary Commitment
Learning to Negotiate via Voluntary Commitment
Shuhui Zhu
Baoxiang Wang
Sriram Ganapathi Subramanian
Pascal Poupart
58
0
0
05 Mar 2025
The Hidden Strength of Disagreement: Unraveling the Consensus-Diversity Tradeoff in Adaptive Multi-Agent Systems
The Hidden Strength of Disagreement: Unraveling the Consensus-Diversity Tradeoff in Adaptive Multi-Agent Systems
Zengqing Wu
Takayuki Ito
42
0
0
23 Feb 2025
Implicit Repair with Reinforcement Learning in Emergent Communication
Implicit Repair with Reinforcement Learning in Emergent Communication
Fábio Vital
A. Sardinha
Francisco S. Melo
39
0
0
18 Feb 2025
CSAOT: Cooperative Multi-Agent System for Active Object Tracking
CSAOT: Cooperative Multi-Agent System for Active Object Tracking
Hy Nguyen
Bao Pham
Hung Du
Srikanth Thudumu
Rajesh Vasa
K. Mouzakis
42
1
0
23 Jan 2025
Game Theory and Multi-Agent Reinforcement Learning : From Nash Equilibria to Evolutionary Dynamics
Game Theory and Multi-Agent Reinforcement Learning : From Nash Equilibria to Evolutionary Dynamics
Neil De La Fuente
Miquel Noguer i Alonso
Guim Casadellà
36
0
0
31 Dec 2024
On Diffusion Models for Multi-Agent Partial Observability: Shared Attractors, Error Bounds, and Composite Flow
On Diffusion Models for Multi-Agent Partial Observability: Shared Attractors, Error Bounds, and Composite Flow
Tonghan Wang
Heng Dong
Yanchen Jiang
David C. Parkes
Milind Tambe
DiffM
44
2
0
17 Oct 2024
PACE: Abstractions for Communicating Efficiently
PACE: Abstractions for Communicating Efficiently
Andrea Silvi
Andrea Silvi
Devdatt Dubhashi
Vikas Garg
LLMAG
32
0
0
30 Sep 2024
Constrained Bandwidth Observation Sharing for Multi-Robot Navigation in Dynamic Environments via Intelligent Knapsack
Constrained Bandwidth Observation Sharing for Multi-Robot Navigation in Dynamic Environments via Intelligent Knapsack
Anirudh Chari
Rui Chen
Han Zheng
Changliu Liu
24
0
0
16 Sep 2024
The Evolution of Reinforcement Learning in Quantitative Finance: A Survey
The Evolution of Reinforcement Learning in Quantitative Finance: A Survey
Nikolaos Pippas
Cagatay Turkay
Elliot A. Ludvig
AIFin
89
3
0
20 Aug 2024
The Bandit Whisperer: Communication Learning for Restless Bandits
The Bandit Whisperer: Communication Learning for Restless Bandits
Yunfan Zhao
Tonghan Wang
Dheeraj M. Nagaraj
Aparna Taneja
Milind Tambe
49
5
0
11 Aug 2024
A Review of the Applications of Deep Learning-Based Emergent
  Communication
A Review of the Applications of Deep Learning-Based Emergent Communication
Brendon Boldt
David R. Mortensen
VLM
31
6
0
03 Jul 2024
Multi-agent Cooperative Games Using Belief Map Assisted Training
Multi-agent Cooperative Games Using Belief Map Assisted Training
Qinwei Huang
Chen Luo
Alex B. Wu
Simon Khan
Hai Helen Li
Qinru Qiu
36
0
0
27 Jun 2024
The Overcooked Generalisation Challenge
The Overcooked Generalisation Challenge
Constantin Ruhdorfer
Matteo Bortoletto
Anna Penzkofer
Andreas Bulling
48
4
0
25 Jun 2024
Multi-agent Reinforcement Learning with Deep Networks for Diverse
  Q-Vectors
Multi-agent Reinforcement Learning with Deep Networks for Diverse Q-Vectors
Zhenglong Luo
Zhiyong Chen
James Welsh
20
1
0
12 Jun 2024
Cognitive Insights and Stable Coalition Matching for Fostering Multi-Agent Cooperation
Cognitive Insights and Stable Coalition Matching for Fostering Multi-Agent Cooperation
Jiaqi Shao
Tianjun Yuan
Tao Lin
Xuanyu Cao
44
0
0
28 May 2024
Mimicry and the Emergence of Cooperative Communication
Mimicry and the Emergence of Cooperative Communication
Dylan R. Cope
Peter McBurney
27
0
0
26 May 2024
SMAUG: A Sliding Multidimensional Task Window-Based MARL Framework for
  Adaptive Real-Time Subtask Recognition
SMAUG: A Sliding Multidimensional Task Window-Based MARL Framework for Adaptive Real-Time Subtask Recognition
Wenjing Zhang
Wei Zhang
41
0
0
04 Mar 2024
Learning Translations: Emergent Communication Pretraining for
  Cooperative Language Acquisition
Learning Translations: Emergent Communication Pretraining for Cooperative Language Acquisition
Dylan R. Cope
Peter McBurney
32
0
0
26 Feb 2024
Watch Out for Your Agents! Investigating Backdoor Threats to LLM-Based
  Agents
Watch Out for Your Agents! Investigating Backdoor Threats to LLM-Based Agents
Wenkai Yang
Xiaohan Bi
Yankai Lin
Sishuo Chen
Jie Zhou
Xu Sun
LLMAG
AAML
44
53
0
17 Feb 2024
Settling Decentralized Multi-Agent Coordinated Exploration by Novelty
  Sharing
Settling Decentralized Multi-Agent Coordinated Exploration by Novelty Sharing
Haobin Jiang
Ziluo Ding
Zongqing Lu
24
2
0
03 Feb 2024
Multi-Agent Reinforcement Learning for Connected and Automated Vehicles
  Control: Recent Advancements and Future Prospects
Multi-Agent Reinforcement Learning for Connected and Automated Vehicles Control: Recent Advancements and Future Prospects
Min Hua
Dong Chen
Xinda Qi
Kun Jiang
Z. Liu
Quan Zhou
Hongming Xu
20
10
0
18 Dec 2023
Multi-agent Reinforcement Learning: A Comprehensive Survey
Multi-agent Reinforcement Learning: A Comprehensive Survey
Dom Huh
Prasant Mohapatra
AI4CE
33
8
0
15 Dec 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
18
0
0
24 Nov 2023
Selectively Sharing Experiences Improves Multi-Agent Reinforcement
  Learning
Selectively Sharing Experiences Improves Multi-Agent Reinforcement Learning
M. Gerstgrasser
Tom Danino
Sarah Keren
21
5
0
01 Nov 2023
Towards Semantic Communication Protocols for 6G: From Protocol Learning
  to Language-Oriented Approaches
Towards Semantic Communication Protocols for 6G: From Protocol Learning to Language-Oriented Approaches
Jihong Park
Seung-Woo Ko
Jinho D. Choi
Seong-Lyun Kim
M. Bennis
36
7
0
14 Oct 2023
Cheap Talking Algorithms
Cheap Talking Algorithms
Daniele Condorelli
Massimiliano Furlan
21
1
0
11 Oct 2023
Effective Multi-Agent Deep Reinforcement Learning Control with Relative
  Entropy Regularization
Effective Multi-Agent Deep Reinforcement Learning Control with Relative Entropy Regularization
Chenyang Miao
Yunduan Cui
Huiyun Li
Xin Wu
24
5
0
26 Sep 2023
Recent Progress in Energy Management of Connected Hybrid Electric
  Vehicles Using Reinforcement Learning
Recent Progress in Energy Management of Connected Hybrid Electric Vehicles Using Reinforcement Learning
Mingya Hua
Bin Shuai
Quan Zhou
Jinhai Wang
Yinglong He
Hongming Xu
39
2
0
28 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
32
5
0
22 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
Transformers in Reinforcement Learning: A Survey
Transformers in Reinforcement Learning: A Survey
Pranav Agarwal
A. Rahman
P. St-Charles
Simon J. D. Prince
Samira Ebrahimi Kahou
OffRL
24
18
0
12 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
Decentralized Multi-Agent Reinforcement Learning with Global State
  Prediction
Decentralized Multi-Agent Reinforcement Learning with Global State Prediction
Josh Bloom
Pranjal Paliwal
Apratim Mukherjee
Carlo Pinciroli
22
3
0
22 Jun 2023
Inter-Cell Network Slicing With Transfer Learning Empowered Multi-Agent
  Deep Reinforcement Learning
Inter-Cell Network Slicing With Transfer Learning Empowered Multi-Agent Deep Reinforcement Learning
Tianlun Hu
Qi Liao
Li-Yu Daisy Liu
Georg Carle
11
3
0
20 Jun 2023
Cooperative Multi-Agent Learning for Navigation via Structured State
  Abstraction
Cooperative Multi-Agent Learning for Navigation via Structured State Abstraction
Mohamed K. Abdel-Aziz
Mohammed S. Elbamby
S. Samarakoon
M. Bennis
18
4
0
20 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
28
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
Yanhao Huang
Jie Song
31
17
0
27 May 2023
End-to-End Simultaneous Speech Translation with Differentiable
  Segmentation
End-to-End Simultaneous Speech Translation with Differentiable Segmentation
Shaolei Zhang
Yang Feng
20
17
0
25 May 2023
Low-Entropy Latent Variables Hurt Out-of-Distribution Performance
Low-Entropy Latent Variables Hurt Out-of-Distribution Performance
Nandi Schoots
Dylan R. Cope
OODD
OOD
26
0
0
20 May 2023
Task-Oriented Communication Design at Scale
Task-Oriented Communication Design at Scale
Arsham Mostaani
T. Vu
Hamed Habibi
Symeon Chatzinotas
Björn E. Ottersten
21
3
0
15 May 2023
Towards Effective and Interpretable Human-Agent Collaboration in MOBA
  Games: A Communication Perspective
Towards Effective and Interpretable Human-Agent Collaboration in MOBA Games: A Communication Perspective
Yiming Gao
Feiyu Liu
Liang Wang
Zhenjie Lian
Weixuan Wang
...
Jiawei Wang
Qiang Fu
Wei Yang
Lanxiao Huang
Wei Liu
37
6
0
23 Apr 2023
Coordinating Fully-Cooperative Agents Using Hierarchical Learning
  Anticipation
Coordinating Fully-Cooperative Agents Using Hierarchical Learning Anticipation
Ariyan Bighashdel
Daan de Geus
P. Jancura
Gijs Dubbelman
19
1
0
15 Mar 2023
Multi-agent Attention Actor-Critic Algorithm for Load Balancing in
  Cellular Networks
Multi-agent Attention Actor-Critic Algorithm for Load Balancing in Cellular Networks
Jikun Kang
Di Wu
Ju Wang
E. Hossain
Xue Liu
Gregory Dudek
16
0
0
14 Mar 2023
AC2C: Adaptively Controlled Two-Hop Communication for Multi-Agent
  Reinforcement Learning
AC2C: Adaptively Controlled Two-Hop Communication for Multi-Agent Reinforcement Learning
Xuefeng Wang
Xinran Li
Jiawei Shao
Jun Zhang
16
3
0
24 Feb 2023
A Theory of Mind Approach as Test-Time Mitigation Against Emergent
  Adversarial Communication
A Theory of Mind Approach as Test-Time Mitigation Against Emergent Adversarial Communication
Nancirose Piazza
Vahid Behzadan
AAML
27
7
0
14 Feb 2023
Dual Self-Awareness Value Decomposition Framework without Individual
  Global Max for Cooperative Multi-Agent Reinforcement Learning
Dual Self-Awareness Value Decomposition Framework without Individual Global Max for Cooperative Multi-Agent Reinforcement Learning
Zhiwei Xu
Bin Zhang
Dapeng Li
Guangchong Zhou
Zeren Zhang
Guoliang Fan
28
3
0
04 Feb 2023
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