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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
MDP Homomorphic Networks: Group Symmetries in Reinforcement Learning
MDP Homomorphic Networks: Group Symmetries in Reinforcement Learning
Elise van der Pol
Daniel E. Worrall
H. V. Hoof
F. Oliehoek
Max Welling
BDL
AI4CE
31
156
0
30 Jun 2020
Calibration of Shared Equilibria in General Sum Partially Observable
  Markov Games
Calibration of Shared Equilibria in General Sum Partially Observable Markov Games
N. Vadori
Sumitra Ganesh
P. Reddy
Manuela Veloso
22
15
0
23 Jun 2020
Deep Implicit Coordination Graphs for Multi-agent Reinforcement Learning
Deep Implicit Coordination Graphs for Multi-agent Reinforcement Learning
Sheng Li
Jayesh K. Gupta
Peter Morales
R. Allen
Mykel J. Kochenderfer
GNN
33
82
0
19 Jun 2020
ForMIC: Foraging via Multiagent RL with Implicit Communication
ForMIC: Foraging via Multiagent RL with Implicit Communication
Samuel Shaw
Emerson Wenzel
Alexis Walker
Guillaume Sartoretti
OffRL
16
7
0
15 Jun 2020
Benchmarking Multi-Agent Deep Reinforcement Learning Algorithms in
  Cooperative Tasks
Benchmarking Multi-Agent Deep Reinforcement Learning Algorithms in Cooperative Tasks
Georgios Papoudakis
Filippos Christianos
Lukas Schafer
Stefano V. Albrecht
OffRL
26
220
0
14 Jun 2020
Learning to Communicate Using Counterfactual Reasoning
Learning to Communicate Using Counterfactual Reasoning
Simon Vanneste
Astrid Vanneste
Kevin Mets
Tom De Schepper
Ali Anwar
Siegfried Mercelis
Steven Latré
P. Hellinckx
OffRL
13
11
0
12 Jun 2020
Modeling Human Driving Behavior through Generative Adversarial Imitation
  Learning
Modeling Human Driving Behavior through Generative Adversarial Imitation Learning
Raunak P. Bhattacharyya
Blake Wulfe
Derek J. Phillips
Alex Kuefler
Jeremy Morton
Ransalu Senanayake
Mykel Kochenderfer
14
98
0
10 Jun 2020
Skill Discovery of Coordination in Multi-agent Reinforcement Learning
Skill Discovery of Coordination in Multi-agent Reinforcement Learning
Shuncheng He
Jianzhun Shao
Xiangyang Ji
26
7
0
07 Jun 2020
Emergent Multi-Agent Communication in the Deep Learning Era
Emergent Multi-Agent Communication in the Deep Learning Era
Angeliki Lazaridou
Marco Baroni
AI4CE
48
197
0
03 Jun 2020
When2com: Multi-Agent Perception via Communication Graph Grouping
When2com: Multi-Agent Perception via Communication Graph Grouping
Yen-Cheng Liu
Junjiao Tian
Nathan Glaser
Z. Kira
AI4CE
22
207
0
30 May 2020
AI Research Considerations for Human Existential Safety (ARCHES)
AI Research Considerations for Human Existential Safety (ARCHES)
Andrew Critch
David M. Krueger
30
50
0
30 May 2020
Task-Oriented Data Compression for Multi-Agent Communications Over
  Bit-Budgeted Channels
Task-Oriented Data Compression for Multi-Agent Communications Over Bit-Budgeted Channels
Arsham Mostaani
T. Vu
Symeon Chatzinotas
Björn E. Ottersten
17
11
0
28 May 2020
Non-cooperative Multi-agent Systems with Exploring Agents
Non-cooperative Multi-agent Systems with Exploring Agents
Jalal Etesami
C. Straehle
25
4
0
25 May 2020
Delay-Aware Multi-Agent Reinforcement Learning for Cooperative and
  Competitive Environments
Delay-Aware Multi-Agent Reinforcement Learning for Cooperative and Competitive Environments
Baiming Chen
Mengdi Xu
Zuxin Liu
Liang-Sheng Li
Ding Zhao
17
37
0
11 May 2020
Show, Describe and Conclude: On Exploiting the Structure Information of
  Chest X-Ray Reports
Show, Describe and Conclude: On Exploiting the Structure Information of Chest X-Ray Reports
Baoyu Jing
Zeya Wang
Eric Xing
22
139
0
26 Apr 2020
The Variational Bandwidth Bottleneck: Stochastic Evaluation on an
  Information Budget
The Variational Bandwidth Bottleneck: Stochastic Evaluation on an Information Budget
Anirudh Goyal
Yoshua Bengio
M. Botvinick
Sergey Levine
22
24
0
24 Apr 2020
Correlation-aware Unsupervised Change-point Detection via Graph Neural
  Networks
Correlation-aware Unsupervised Change-point Detection via Graph Neural Networks
Ruohong Zhang
Yu Hao
Donghan Yu
Wei-Cheng Chang
Guokun Lai
Yiming Yang
11
1
0
24 Apr 2020
A Practical Guide to Studying Emergent Communication through Grounded
  Language Games
A Practical Guide to Studying Emergent Communication through Grounded Language Games
Jens Nevens
Paul Van Eecke
Katrien Beuls
LLMAG
13
13
0
20 Apr 2020
Dark, Beyond Deep: A Paradigm Shift to Cognitive AI with Humanlike
  Common Sense
Dark, Beyond Deep: A Paradigm Shift to Cognitive AI with Humanlike Common Sense
Yixin Zhu
Tao Gao
Lifeng Fan
Siyuan Huang
Mark Edmonds
...
Chi Zhang
Siyuan Qi
Ying Nian Wu
J. Tenenbaum
Song-Chun Zhu
27
128
0
20 Apr 2020
F2A2: Flexible Fully-decentralized Approximate Actor-critic for
  Cooperative Multi-agent Reinforcement Learning
F2A2: Flexible Fully-decentralized Approximate Actor-critic for Cooperative Multi-agent Reinforcement Learning
Wenhao Li
Bo Jin
Xiangfeng Wang
Junchi Yan
H. Zha
25
21
0
17 Apr 2020
Re-conceptualising the Language Game Paradigm in the Framework of
  Multi-Agent Reinforcement Learning
Re-conceptualising the Language Game Paradigm in the Framework of Multi-Agent Reinforcement Learning
Paul Van Eecke
Katrien Beuls
LLMAG
14
4
0
09 Apr 2020
Networked Multi-Agent Reinforcement Learning with Emergent Communication
Networked Multi-Agent Reinforcement Learning with Emergent Communication
Shubham Gupta
Rishi Hazra
Ambedkar Dukkipati
20
25
0
06 Apr 2020
Multi-agent Reinforcement Learning for Networked System Control
Multi-agent Reinforcement Learning for Networked System Control
Tianshu Chu
Sandeep P. Chinchali
Sachin Katti
28
108
0
03 Apr 2020
Counterfactual Multi-Agent Reinforcement Learning with Graph Convolution
  Communication
Counterfactual Multi-Agent Reinforcement Learning with Graph Convolution Communication
Jianyu Su
Stephen C. Adams
Peter A. Beling
26
26
0
01 Apr 2020
Parallel Knowledge Transfer in Multi-Agent Reinforcement Learning
Parallel Knowledge Transfer in Multi-Agent Reinforcement Learning
Yongyuan Liang
Bangwei Li
14
10
0
29 Mar 2020
Who2com: Collaborative Perception via Learnable Handshake Communication
Who2com: Collaborative Perception via Learnable Handshake Communication
Yen-Cheng Liu
Junjiao Tian
Chih-Yao Ma
Nathan Glaser
Chia-Wen Kuo
Z. Kira
23
162
0
21 Mar 2020
Monotonic Value Function Factorisation for Deep Multi-Agent
  Reinforcement Learning
Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning
Tabish Rashid
Mikayel Samvelyan
Christian Schroeder de Witt
Gregory Farquhar
Jakob N. Foerster
Shimon Whiteson
67
773
0
19 Mar 2020
ROMA: Multi-Agent Reinforcement Learning with Emergent Roles
ROMA: Multi-Agent Reinforcement Learning with Emergent Roles
Tonghan Wang
Heng Dong
V. Lesser
Chongjie Zhang
57
212
0
18 Mar 2020
"Other-Play" for Zero-Shot Coordination
"Other-Play" for Zero-Shot Coordination
Hengyuan Hu
Adam Lerer
A. Peysakhovich
Jakob N. Foerster
VLM
OffRL
136
218
0
06 Mar 2020
Benchmarking Graph Neural Networks
Benchmarking Graph Neural Networks
Vijay Prakash Dwivedi
Chaitanya K. Joshi
Anh Tuan Luu
T. Laurent
Yoshua Bengio
Xavier Bresson
189
922
0
02 Mar 2020
Cluster-Based Social Reinforcement Learning
Cluster-Based Social Reinforcement Learning
Mahak Goindani
Jennifer Neville
GNN
OffRL
14
5
0
02 Mar 2020
Review, Analysis and Design of a Comprehensive Deep Reinforcement
  Learning Framework
Review, Analysis and Design of a Comprehensive Deep Reinforcement Learning Framework
Ngoc Duy Nguyen
Thanh Thi Nguyen
Hai V. Nguyen
Doug Creighton
S. Nahavandi
43
3
0
27 Feb 2020
A Visual Communication Map for Multi-Agent Deep Reinforcement Learning
A Visual Communication Map for Multi-Agent Deep Reinforcement Learning
Ngoc Duy Nguyen
Thanh Thi Nguyen
Doug Creighton
S. Nahavandi
33
5
0
27 Feb 2020
Multi-Agent Reinforcement Learning as a Computational Tool for Language
  Evolution Research: Historical Context and Future Challenges
Multi-Agent Reinforcement Learning as a Computational Tool for Language Evolution Research: Historical Context and Future Challenges
Clément Moulin-Frier
Pierre-Yves Oudeyer
LM&Ro
11
7
0
20 Feb 2020
R-MADDPG for Partially Observable Environments and Limited Communication
R-MADDPG for Partially Observable Environments and Limited Communication
Rose E. Wang
M. Everett
Jonathan P. How
17
87
0
16 Feb 2020
Learning Multi-Agent Coordination through Connectivity-driven
  Communication
Learning Multi-Agent Coordination through Connectivity-driven Communication
E. Pesce
Giovanni Montana
24
15
0
12 Feb 2020
Learning Structured Communication for Multi-agent Reinforcement Learning
Learning Structured Communication for Multi-agent Reinforcement Learning
Junjie Sheng
Xiangfeng Wang
Bo Jin
Junchi Yan
Wenhao Li
Tsung-Hui Chang
Jun Wang
H. Zha
23
50
0
11 Feb 2020
Structural Inductive Biases in Emergent Communication
Structural Inductive Biases in Emergent Communication
Agnieszka Słowik
Abhinav Gupta
William L. Hamilton
M. Jamnik
S. Holden
C. Pal
AI4CE
43
5
0
04 Feb 2020
Towards Graph Representation Learning in Emergent Communication
Towards Graph Representation Learning in Emergent Communication
Agnieszka Słowik
Abhinav Gupta
William L. Hamilton
M. Jamnik
S. Holden
35
4
0
24 Jan 2020
Emergence of Pragmatics from Referential Game between Theory of Mind
  Agents
Emergence of Pragmatics from Referential Game between Theory of Mind Agents
Luyao Yuan
Zipeng Fu
Jingyue Shen
Lu Xu
Junhong Shen
Song-Chun Zhu
LLMAG
24
16
0
21 Jan 2020
Adversarially Guided Self-Play for Adopting Social Conventions
Adversarially Guided Self-Play for Adopting Social Conventions
Mycal Tucker
Yilun Zhou
J. Shah
24
14
0
16 Jan 2020
Deep learning reveals hidden interactions in complex systems
Deep learning reveals hidden interactions in complex systems
Seungwoong Ha
Hawoong Jeong
GNN
38
4
0
03 Jan 2020
Multi-Graph Transformer for Free-Hand Sketch Recognition
Multi-Graph Transformer for Free-Hand Sketch Recognition
Peng Xu
Chaitanya K. Joshi
Xavier Bresson
ViT
25
85
0
24 Dec 2019
Joint Interaction and Trajectory Prediction for Autonomous Driving using
  Graph Neural Networks
Joint Interaction and Trajectory Prediction for Autonomous Driving using Graph Neural Networks
Donsuk Lee
Yiming Gu
Jerrick Hoang
Micol Marchetti-Bowick
GNN
24
38
0
17 Dec 2019
Deep Iterative and Adaptive Learning for Graph Neural Networks
Deep Iterative and Adaptive Learning for Graph Neural Networks
Yu Chen
Lingfei Wu
Mohammed J Zaki
GNN
27
47
0
17 Dec 2019
Coordination in Adversarial Sequential Team Games via Multi-Agent Deep
  Reinforcement Learning
Coordination in Adversarial Sequential Team Games via Multi-Agent Deep Reinforcement Learning
A. Celli
Marco Ciccone
Raffaele Bongo
N. Gatti
33
12
0
16 Dec 2019
Biases for Emergent Communication in Multi-agent Reinforcement Learning
Biases for Emergent Communication in Multi-agent Reinforcement Learning
Tom Eccles
Yoram Bachrach
Guy Lever
Angeliki Lazaridou
T. Graepel
AI4CE
27
70
0
11 Dec 2019
Inter-Level Cooperation in Hierarchical Reinforcement Learning
Inter-Level Cooperation in Hierarchical Reinforcement Learning
Abdul Rahman Kreidieh
Yiling You
Nathan Lichtlé
Samyak Parajuli
Rayyan Nasr
Alexandre M. Bayen
45
14
0
05 Dec 2019
Simplified Action Decoder for Deep Multi-Agent Reinforcement Learning
Simplified Action Decoder for Deep Multi-Agent Reinforcement Learning
Hengyuan Hu
Jakob N. Foerster
OffRL
24
82
0
04 Dec 2019
BADGER: Learning to (Learn [Learning Algorithms] through Multi-Agent
  Communication)
BADGER: Learning to (Learn [Learning Algorithms] through Multi-Agent Communication)
Marek Rosa
O. Afanasjeva
Simon Andersson
Joseph Davidson
N. Guttenberg
Petr Hlubucek
Martin Poliak
Jaroslav Vítků
Jan Feyereisl
22
10
0
03 Dec 2019
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