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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 / 319 papers shown
Title
Off-Policy Action Anticipation in Multi-Agent Reinforcement Learning
Off-Policy Action Anticipation in Multi-Agent Reinforcement Learning
Ariyan Bighashdel
Daan de Geus
P. Jancura
Gijs Dubbelman
OffRL
LRM
18
1
0
04 Apr 2023
CAMEL: Communicative Agents for "Mind" Exploration of Large Language
  Model Society
CAMEL: Communicative Agents for "Mind" Exploration of Large Language Model Society
Ge Li
Hasan Hammoud
Hani Itani
Dmitrii Khizbullin
Guohao Li
SyDa
ALM
50
413
0
31 Mar 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
21
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
Ekram Hossain
Xue Liu
Gregory Dudek
21
0
0
14 Mar 2023
Parameter Sharing with Network Pruning for Scalable Multi-Agent Deep
  Reinforcement Learning
Parameter Sharing with Network Pruning for Scalable Multi-Agent Deep Reinforcement Learning
Woojun Kim
Young-Jin Sung
21
7
0
02 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
Low Entropy Communication in Multi-Agent Reinforcement Learning
Low Entropy Communication in Multi-Agent Reinforcement Learning
Lebin Yu
Yunbo Qiu
Qiexiang Wang
Xudong Zhang
Jian Wang
15
2
0
10 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
36
3
0
04 Feb 2023
Heterogeneous Multi-Robot Reinforcement Learning
Heterogeneous Multi-Robot Reinforcement Learning
Matteo Bettini
Ajay Shankar
Amanda Prorok
22
40
0
17 Jan 2023
Semantic and Effective Communication for Remote Control Tasks with
  Dynamic Feature Compression
Semantic and Effective Communication for Remote Control Tasks with Dynamic Feature Compression
Pietro Talli
Francesco Pase
Federico Chiariotti
Andrea Zanella
Michele Zorzi
26
6
0
14 Jan 2023
SoK: Adversarial Machine Learning Attacks and Defences in Multi-Agent
  Reinforcement Learning
SoK: Adversarial Machine Learning Attacks and Defences in Multi-Agent Reinforcement Learning
Maxwell Standen
Junae Kim
Claudia Szabo
AAML
37
5
0
11 Jan 2023
Asynchronous Multi-Agent Reinforcement Learning for Efficient Real-Time
  Multi-Robot Cooperative Exploration
Asynchronous Multi-Agent Reinforcement Learning for Efficient Real-Time Multi-Robot Cooperative Exploration
Chao Yu
Xinyi Yang
Jiaxuan Gao
Jiayu Chen
Yunfei Li
...
Yunfei Xiang
Rui Huang
Huazhong Yang
Yi Wu
Yu Wang
35
36
0
09 Jan 2023
Scalable Communication for Multi-Agent Reinforcement Learning via
  Transformer-Based Email Mechanism
Scalable Communication for Multi-Agent Reinforcement Learning via Transformer-Based Email Mechanism
Xudong Guo
Daming Shi
Wenhui Fan
22
5
0
05 Jan 2023
Towards Learning Abstractions via Reinforcement Learning
Towards Learning Abstractions via Reinforcement Learning
Erik Jergéus
Leo Karlsson Oinonen
Emil Carlsson
Moa Johansson
AI4CE
21
2
0
28 Dec 2022
Learning Latent Representations to Co-Adapt to Humans
Learning Latent Representations to Co-Adapt to Humans
Sagar Parekh
Dylan P. Losey
20
12
0
19 Dec 2022
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
28
84
0
14 Dec 2022
Curriculum Learning for Relative Overgeneralization
Curriculum Learning for Relative Overgeneralization
Lin Shi
Bei Peng
28
1
0
06 Dec 2022
CatlNet: Learning Communication and Coordination Policies from CaTL+
  Specifications
CatlNet: Learning Communication and Coordination Policies from CaTL+ Specifications
Wenliang Liu
Kevin J. Leahy
Zachary Serlin
C. Belta
41
1
0
30 Nov 2022
Towards True Lossless Sparse Communication in Multi-Agent Systems
Towards True Lossless Sparse Communication in Multi-Agent Systems
Seth Karten
Mycal Tucker
Siva Kailas
Katia P. Sycara
45
4
0
30 Nov 2022
Global Convergence of Localized Policy Iteration in Networked
  Multi-Agent Reinforcement Learning
Global Convergence of Localized Policy Iteration in Networked Multi-Agent Reinforcement Learning
Yizhou Zhang
Guannan Qu
Pan Xu
Yiheng Lin
Zaiwei Chen
Adam Wierman
42
26
0
30 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
50
12
0
22 Nov 2022
Adversarial Cheap Talk
Adversarial Cheap Talk
Chris Xiaoxuan Lu
Timon Willi
Alistair Letcher
Jakob N. Foerster
AAML
24
17
0
20 Nov 2022
Credit-cognisant reinforcement learning for multi-agent cooperation
Credit-cognisant reinforcement learning for multi-agent cooperation
F. Bredell
S. M. I. H. A. Engelbrecht
M. I. J. C. Schoeman
13
0
0
18 Nov 2022
Dynamic Collaborative Multi-Agent Reinforcement Learning Communication
  for Autonomous Drone Reforestation
Dynamic Collaborative Multi-Agent Reinforcement Learning Communication for Autonomous Drone Reforestation
P. D. Siedler
AI4CE
33
4
0
14 Nov 2022
Emergent Quantized Communication
Emergent Quantized Communication
Boaz Carmeli
Ron Meir
Yonatan Belinkov
MQ
AI4CE
28
8
0
04 Nov 2022
Over-communicate no more: Situated RL agents learn concise communication
  protocols
Over-communicate no more: Situated RL agents learn concise communication protocols
A. Kalinowska
Elnaz Davoodi
Florian Strub
Kory W. Mathewson
Ivana Kajić
Michael Bowling
Todd D. Murphey
P. Pilarski
21
4
0
02 Nov 2022
Knowing the Past to Predict the Future: Reinforcement Virtual Learning
Knowing the Past to Predict the Future: Reinforcement Virtual Learning
Peng Zhang
Yawen Huang
Bingzhang Hu
Shizheng Wang
Haoran Duan
Noura Al Moubayed
Yefeng Zheng
Yang Long
OffRL
27
0
0
02 Nov 2022
Teal: Learning-Accelerated Optimization of WAN Traffic Engineering
Teal: Learning-Accelerated Optimization of WAN Traffic Engineering
Zhiying Xu
Francis Y. Yan
Rachee Singh
Justin T. Chiu
Alexander M. Rush
Minlan Yu
23
44
0
25 Oct 2022
Classifying Ambiguous Identities in Hidden-Role Stochastic Games with
  Multi-Agent Reinforcement Learning
Classifying Ambiguous Identities in Hidden-Role Stochastic Games with Multi-Agent Reinforcement Learning
Shijie Han
Siyuan Li
Bo An
Wei Zhao
P. Liu
35
0
0
24 Oct 2022
Learning Control Admissibility Models with Graph Neural Networks for
  Multi-Agent Navigation
Learning Control Admissibility Models with Graph Neural Networks for Multi-Agent Navigation
Chenning Yu
Hong-Den Yu
Sicun Gao
42
17
0
17 Oct 2022
Towards Multi-Agent Reinforcement Learning driven Over-The-Counter
  Market Simulations
Towards Multi-Agent Reinforcement Learning driven Over-The-Counter Market Simulations
N. Vadori
Leo Ardon
Sumitra Ganesh
Thomas Spooner
Selim Amrouni
Jared Vann
Mengda Xu
Zeyu Zheng
T. Balch
Manuela Veloso
18
16
0
13 Oct 2022
Centralized Training with Hybrid Execution in Multi-Agent Reinforcement
  Learning
Centralized Training with Hybrid Execution in Multi-Agent Reinforcement Learning
Pedro P. Santos
Diogo S. Carvalho
Miguel Vasco
Alberto Sardinha
Pedro A. Santos
Ana Paiva
Francisco S. Melo
21
1
0
12 Oct 2022
Stateful active facilitator: Coordination and Environmental
  Heterogeneity in Cooperative Multi-Agent Reinforcement Learning
Stateful active facilitator: Coordination and Environmental Heterogeneity in Cooperative Multi-Agent Reinforcement Learning
Dianbo Liu
Vedant Shah
Oussama Boussif
Cristian Meo
Anirudh Goyal
Tianmin Shu
Michael C. Mozer
N. Heess
Yoshua Bengio
24
7
0
04 Oct 2022
Pareto Actor-Critic for Equilibrium Selection in Multi-Agent
  Reinforcement Learning
Pareto Actor-Critic for Equilibrium Selection in Multi-Agent Reinforcement Learning
Filippos Christianos
Georgios Papoudakis
Stefano V. Albrecht
35
4
0
28 Sep 2022
MARLUI: Multi-Agent Reinforcement Learning for Adaptive UIs
MARLUI: Multi-Agent Reinforcement Learning for Adaptive UIs
T. Langerak
Sammy Christen
Mert Albaba
Christoph Gebhardt
Otmar Hilliges
OffRL
22
0
0
26 Sep 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
44
50
0
21 Sep 2022
Learning to Deceive in Multi-Agent Hidden Role Games
Learning to Deceive in Multi-Agent Hidden Role Games
Matthew Aitchison
L. Benke
Penny Sweetser
OffRL
33
5
0
04 Sep 2022
Learning Practical Communication Strategies in Cooperative Multi-Agent
  Reinforcement Learning
Learning Practical Communication Strategies in Cooperative Multi-Agent Reinforcement Learning
Diyi Hu
Chi Zhang
Viktor Prasanna
Krishnamachari
24
2
0
02 Sep 2022
Decentralized Coordination in Partially Observable Queueing Networks
Decentralized Coordination in Partially Observable Queueing Networks
Jiekai Jia
Anam Tahir
Heinz Koeppl
39
1
0
29 Aug 2022
Entropy Enhanced Multi-Agent Coordination Based on Hierarchical Graph
  Learning for Continuous Action Space
Entropy Enhanced Multi-Agent Coordination Based on Hierarchical Graph Learning for Continuous Action Space
Yining Chen
Ke Wang
Guang-hua Song
Xiaohong Jiang
28
3
0
23 Aug 2022
Collaborative Perception for Autonomous Driving: Current Status and
  Future Trend
Collaborative Perception for Autonomous Driving: Current Status and Future Trend
Shunli Ren
Siheng Chen
Wenjun Zhang
33
29
0
22 Aug 2022
Exploring Task-oriented Communication in Multi-agent System: A Deep
  Reinforcement Learning Approach
Exploring Task-oriented Communication in Multi-agent System: A Deep Reinforcement Learning Approach
Guojun He
29
0
0
22 Aug 2022
Provably Efficient Fictitious Play Policy Optimization for Zero-Sum
  Markov Games with Structured Transitions
Provably Efficient Fictitious Play Policy Optimization for Zero-Sum Markov Games with Structured Transitions
Shuang Qiu
Xiaohan Wei
Jieping Ye
Zhaoran Wang
Zhuoran Yang
OffRL
30
11
0
25 Jul 2022
Beyond Transmitting Bits: Context, Semantics, and Task-Oriented
  Communications
Beyond Transmitting Bits: Context, Semantics, and Task-Oriented Communications
Deniz Gunduz
Zhijin Qin
Iñaki Estella Aguerri
Harpreet S. Dhillon
Zhaohui Yang
Aylin Yener
Kai‐Kit Wong
C. Chae
27
434
0
19 Jul 2022
Scalable Model-based Policy Optimization for Decentralized Networked
  Systems
Scalable Model-based Policy Optimization for Decentralized Networked Systems
Yali Du
Chengdong Ma
Yuchen Liu
Runji Lin
Hao Dong
Jun Wang
Yaodong Yang
34
8
0
13 Jul 2022
Towards Semantic Communication Protocols: A Probabilistic Logic
  Perspective
Towards Semantic Communication Protocols: A Probabilistic Logic Perspective
Sejin Seo
Jihong Park
Seung-Woo Ko
Jinho Choi
M. Bennis
Seong-Lyun Kim
30
22
0
08 Jul 2022
NVIF: Neighboring Variational Information Flow for Large-Scale
  Cooperative Multi-Agent Scenarios
NVIF: Neighboring Variational Information Flow for Large-Scale Cooperative Multi-Agent Scenarios
Jiajun Chai
Yuanheng Zhu
Dongbin Zhao
28
0
0
03 Jul 2022
DarKnight: An Accelerated Framework for Privacy and Integrity Preserving
  Deep Learning Using Trusted Hardware
DarKnight: An Accelerated Framework for Privacy and Integrity Preserving Deep Learning Using Trusted Hardware
H. Hashemi
Yongqin Wang
M. Annavaram
FedML
26
58
0
30 Jun 2022
Multi-UAV Planning for Cooperative Wildfire Coverage and Tracking with
  Quality-of-Service Guarantees
Multi-UAV Planning for Cooperative Wildfire Coverage and Tracking with Quality-of-Service Guarantees
Esmaeil Seraj
Andrew Silva
Matthew C. Gombolay
21
35
0
21 Jun 2022
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