Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
1605.06676
Cited By
Learning to Communicate with Deep Multi-Agent Reinforcement Learning
21 May 2016
Jakob N. Foerster
Yannis Assael
Nando de Freitas
Shimon Whiteson
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Learning to Communicate with Deep Multi-Agent Reinforcement Learning"
50 / 319 papers shown
Title
Certifiably Robust Policy Learning against Adversarial Communication in Multi-agent Systems
Yanchao Sun
Ruijie Zheng
Parisa Hassanzadeh
Yongyuan Liang
S. Feizi
Sumitra Ganesh
Furong Huang
AAML
31
10
0
21 Jun 2022
Revisiting Some Common Practices in Cooperative Multi-Agent Reinforcement Learning
Wei Fu
Chao Yu
Zelai Xu
Jiaqi Yang
Yi Wu
34
32
0
15 Jun 2022
Universally Expressive Communication in Multi-Agent Reinforcement Learning
Matthew Morris
Thomas D. Barrett
Arnu Pretorius
24
4
0
14 Jun 2022
Scalable Joint Learning of Wireless Multiple-Access Policies and their Signaling
Mateus P. Mota
Álvaro Valcarce
J. Gorce
24
6
0
08 Jun 2022
Learning Generalized Wireless MAC Communication Protocols via Abstraction
Luciano Miuccio
Salvatore Riolo
S. Samarakoon
D. Panno
M. Bennis
21
17
0
06 Jun 2022
Consensus Learning for Cooperative Multi-Agent Reinforcement Learning
Zhiwei Xu
Bin Zhang
Dapeng Li
Zeren Zhang
Guangchong Zhou
Hao Chen
Guoliang Fan
24
14
0
06 Jun 2022
Trust-based Consensus in Multi-Agent Reinforcement Learning Systems
Ho Long Fung
Victor-Alexandru Darvariu
Stephen Hailes
Mirco Musolesi
32
5
0
25 May 2022
Emergent Communication through Metropolis-Hastings Naming Game with Deep Generative Models
T. Taniguchi
Yuto Yoshida
Akira Taniguchi
Y. Hagiwara
MLLM
27
22
0
24 May 2022
Collaborative 3D Object Detection for Automatic Vehicle Systems via Learnable Communications
Junyong Wang
Yuan Zeng
Yi Gong
3DPC
39
5
0
24 May 2022
Distributed Transmission Control for Wireless Networks using Multi-Agent Reinforcement Learning
Collin Farquhar
P. Kumar
Anu Jagannath
Jithin Jagannath
AI4CE
30
2
0
13 May 2022
Rate-Constrained Remote Contextual Bandits
Francesco Pase
Deniz Gündüz
M. Zorzi
34
8
0
26 Apr 2022
Mingling Foresight with Imagination: Model-Based Cooperative Multi-Agent Reinforcement Learning
Zhiwei Xu
Dapeng Li
Bin Zhang
Yuan Zhan
Yunru Bai
Guoliang Fan
OffRL
27
7
0
20 Apr 2022
Reinforcement learning on graphs: A survey
Mingshuo Nie
Dongming Chen
Dongqi Wang
41
45
0
13 Apr 2022
Multi-agent Actor-Critic with Time Dynamical Opponent Model
Yuan Tian
Klaus-Rudolf Kladny
Qin Wang
Zhiwu Huang
Olga Fink
AI4CE
26
7
0
12 Apr 2022
Robust Event-Driven Interactions in Cooperative Multi-Agent Learning
Daniel Jarne Ornia
M. Mazo
37
1
0
07 Apr 2022
PerfectDou: Dominating DouDizhu with Perfect Information Distillation
Yang Guan
Minghuan Liu
Weijun Hong
Weinan Zhang
Fei Fang
Guangjun Zeng
Yue Lin
33
26
0
30 Mar 2022
Emergence of hierarchical reference systems in multi-agent communication
Xenia Ohmer
M. Duda
Elia Bruni
25
8
0
24 Mar 2022
An Introduction to Multi-Agent Reinforcement Learning and Review of its Application to Autonomous Mobility
Lukas M. Schmidt
Johanna Brosig
Axel Plinge
Bjoern M. Eskofier
Christopher Mutschler
38
33
0
15 Mar 2022
Multi-Agent Policy Transfer via Task Relationship Modeling
Rongjun Qin
F. Chen
Tonghan Wang
Lei Yuan
Xiaoran Wu
Zongzhang Zhang
Chongjie Zhang
Yang Yu
38
19
0
09 Mar 2022
Multi-Agent Broad Reinforcement Learning for Intelligent Traffic Light Control
Ruijie Zhu
Lulu Li
Shuning Wu
Pei Lv
Yafai Li
Mingliang Xu
28
50
0
08 Mar 2022
Depthwise Convolution for Multi-Agent Communication with Enhanced Mean-Field Approximation
Donghan Xie
Zhi Wang
Chunlin Chen
D. Dong
OffRL
31
8
0
06 Mar 2022
Inter-Cell Slicing Resource Partitioning via Coordinated Multi-Agent Deep Reinforcement Learning
T. Hu
Qi Liao
Qiang Liu
D. Wellington
Georg Carle
12
10
0
25 Feb 2022
Cellular Network Capacity and Coverage Enhancement with MDT Data and Deep Reinforcement Learning
Marco Skocaj
Lorenzo Mario Amorosa
G. Ghinamo
Giuliano Muratore
Davide Micheli
F. Zabini
Roberto Verdone
21
13
0
22 Feb 2022
Multi-Agent Reinforcement Learning for Network Selection and Resource Allocation in Heterogeneous multi-RAT Networks
Mhd Saria Allahham
A. Abdellatif
N. Mhaisen
Amr M. Mohamed
A. Erbad
Mohsen Guizani
26
31
0
21 Feb 2022
Fortuitous Forgetting in Connectionist Networks
Hattie Zhou
Ankit Vani
Hugo Larochelle
Aaron Courville
CLL
16
42
0
01 Feb 2022
Towards Collaborative Question Answering: A Preliminary Study
Xiangkun Hu
Hang Yan
Qipeng Guo
Xipeng Qiu
Weinan Zhang
Zheng-Wei Zhang
25
0
0
24 Jan 2022
Interpretable Learned Emergent Communication for Human-Agent Teams
Seth Karten
Mycal Tucker
Huao Li
Siva Kailas
Michael Lewis
Katia P. Sycara
AI4CE
23
10
0
19 Jan 2022
GCS: Graph-based Coordination Strategy for Multi-Agent Reinforcement Learning
Jingqing Ruan
Yali Du
Xuantang Xiong
Dengpeng Xing
Xiyun Li
Linghui Meng
Haifeng Zhang
Jun Wang
Bo Xu
46
29
0
17 Jan 2022
A Deeper Understanding of State-Based Critics in Multi-Agent Reinforcement Learning
Xueguang Lyu
Andrea Baisero
Yuchen Xiao
Chris Amato
OffRL
17
16
0
03 Jan 2022
Building Human-like Communicative Intelligence: A Grounded Perspective
M. Dubova
29
12
0
02 Jan 2022
Maximum Entropy Population-Based Training for Zero-Shot Human-AI Coordination
Rui Zhao
Jinming Song
Yufeng Yuan
Haifeng Hu
Yang Gao
Yi Wu
Zhongqian Sun
Yang Wei
32
63
0
22 Dec 2021
CGIBNet: Bandwidth-constrained Communication with Graph Information Bottleneck in Multi-Agent Reinforcement Learning
Qi Tian
Kun Kuang
Baoxiang Wang
Furui Liu
Fei Wu
26
0
0
20 Dec 2021
Attention Based Communication and Control for Multi-UAV Path Planning
Hamid Shiri
Hyowoon Seo
Jihong Park
M. Bennis
19
14
0
20 Dec 2021
Learning to Guide and to Be Guided in the Architect-Builder Problem
Paul Barde
Tristan Karch
Derek Nowrouzezahrai
Clément Moulin-Frier
C. Pal
Pierre-Yves Oudeyer
41
4
0
14 Dec 2021
Learning Emergent Random Access Protocol for LEO Satellite Networks
Ju-Hyung Lee
Hyowoon Seo
Jihong Park
M. Bennis
Young-Chai Ko
30
17
0
03 Dec 2021
Multi-Agent Intention Sharing via Leader-Follower Forest
Zeyang Liu
Lipeng Wang
Xuefeng Sui
Kewu Sun
Xuguang Lan
37
3
0
02 Dec 2021
Collective Intelligence for Deep Learning: A Survey of Recent Developments
David R Ha
Yu Tang
AI4CE
31
69
0
29 Nov 2021
Emergent Graphical Conventions in a Visual Communication Game
Shuwen Qiu
Sirui Xie
Lifeng Fan
Tao Gao
Jungseock Joo
Song-Chun Zhu
Yixin Zhu
29
12
0
28 Nov 2021
Distributed Policy Gradient with Variance Reduction in Multi-Agent Reinforcement Learning
Xiaoxiao Zhao
Jinlong Lei
Li Li
Jie-bin Chen
OffRL
18
2
0
25 Nov 2021
Renewable energy integration and microgrid energy trading using multi-agent deep reinforcement learning
Daniel J. B. Harrold
Jun Cao
Zhongbo Fan
33
61
0
21 Nov 2021
Causal Multi-Agent Reinforcement Learning: Review and Open Problems
St John Grimbly
Jonathan P. Shock
Arnu Pretorius
44
17
0
12 Nov 2021
Catalytic Role Of Noise And Necessity Of Inductive Biases In The Emergence Of Compositional Communication
Lukasz Kuciñski
Tomasz Korbak
P. Kołodziej
Piotr Milo's
63
19
0
11 Nov 2021
PatchGame: Learning to Signal Mid-level Patches in Referential Games
Kamal Gupta
Gowthami Somepalli
Anubhav Gupta
Vinoj Jayasundara
Matthias Zwicker
Abhinav Shrivastava
25
3
0
02 Nov 2021
A Framework for Real-World Multi-Robot Systems Running Decentralized GNN-Based Policies
J. Blumenkamp
Steven D. Morad
Jennifer Gielis
Qingbiao Li
Amanda Prorok
24
47
0
02 Nov 2021
Learning Distilled Collaboration Graph for Multi-Agent Perception
Yiming Li
Shunli Ren
Pengxiang Wu
Siheng Chen
Chen Feng
Wenjun Zhang
27
239
0
01 Nov 2021
Mixed Cooperative-Competitive Communication Using Multi-Agent Reinforcement Learning
Astrid Vanneste
Wesley Van Wijnsberghe
Simon Vanneste
Kevin Mets
Siegfried Mercelis
Steven Latré
P. Hellinckx
24
4
0
29 Oct 2021
Learning to Ground Multi-Agent Communication with Autoencoders
Toru Lin
Minyoung Huh
C. Stauffer
Ser-Nam Lim
Phillip Isola
AI4CE
48
52
0
28 Oct 2021
Dynamic population-based meta-learning for multi-agent communication with natural language
Abhinav Gupta
Marc Lanctot
Angeliki Lazaridou
LLMAG
33
20
0
27 Oct 2021
Learning to Simulate Self-Driven Particles System with Coordinated Policy Optimization
Zhenghao Peng
Quanyi Li
Ka-Ming Hui
Chunxiao Liu
Bolei Zhou
44
59
0
26 Oct 2021
Convergence Rates of Average-Reward Multi-agent Reinforcement Learning via Randomized Linear Programming
Alec Koppel
Amrit Singh Bedi
Bhargav Ganguly
Vaneet Aggarwal
32
4
0
22 Oct 2021
Previous
1
2
3
4
5
6
7
Next