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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 / 529 papers shown
Title
Coordinated Exploration via Intrinsic Rewards for Multi-Agent
  Reinforcement Learning
Coordinated Exploration via Intrinsic Rewards for Multi-Agent Reinforcement Learning
Shariq Iqbal
Fei Sha
6
49
0
28 May 2019
PAC Guarantees for Cooperative Multi-Agent Reinforcement Learning with
  Restricted Communication
PAC Guarantees for Cooperative Multi-Agent Reinforcement Learning with Restricted Communication
Or Raveh
Ron Meir
9
0
0
23 May 2019
MR-GNN: Multi-Resolution and Dual Graph Neural Network for Predicting
  Structured Entity Interactions
MR-GNN: Multi-Resolution and Dual Graph Neural Network for Predicting Structured Entity Interactions
Nuo Xu
P. Wang
Long Chen
Jing Tao
Junzhou Zhao
GNN
11
91
0
23 May 2019
Factorised Neural Relational Inference for Multi-Interaction Systems
Factorised Neural Relational Inference for Multi-Interaction Systems
Ezra Webb
Ben Day
Helena Andrés-Terré
Pietro Lió
AI4CE
GNN
27
29
0
21 May 2019
Arena: A General Evaluation Platform and Building Toolkit for
  Multi-Agent Intelligence
Arena: A General Evaluation Platform and Building Toolkit for Multi-Agent Intelligence
Yuhang Song
Andrzej Wojcicki
Thomas Lukasiewicz
Jianyi Wang
Abi Aryan
Zhenghua Xu
Mai Xu
Zihan Ding
Lianlong Wu
AI4CE
ELM
19
33
0
17 May 2019
QTRAN: Learning to Factorize with Transformation for Cooperative
  Multi-Agent Reinforcement Learning
QTRAN: Learning to Factorize with Transformation for Cooperative Multi-Agent Reinforcement Learning
Kyunghwan Son
Daewoo Kim
Wan Ju Kang
D. Hostallero
Yung Yi
OffRL
23
785
0
14 May 2019
Are Graph Neural Networks Miscalibrated?
Are Graph Neural Networks Miscalibrated?
Leonardo Teixeira
B. Jalaeian
Bruno Ribeiro
AI4CE
16
22
0
07 May 2019
Generating Classification Weights with GNN Denoising Autoencoders for
  Few-Shot Learning
Generating Classification Weights with GNN Denoising Autoencoders for Few-Shot Learning
Spyros Gidaris
N. Komodakis
11
230
0
03 May 2019
From Abstractions to Grounded Languages for Robust Coordination of Task
  Planning Robots
From Abstractions to Grounded Languages for Robust Coordination of Task Planning Robots
Yu-an Zhang
16
1
0
01 May 2019
Learning Actor Relation Graphs for Group Activity Recognition
Learning Actor Relation Graphs for Group Activity Recognition
Jianchao Wu
Limin Wang
Li Wang
Jie Guo
Gangshan Wu
32
239
0
23 Apr 2019
Emergence of Compositional Language with Deep Generational Transmission
Emergence of Compositional Language with Deep Generational Transmission
Michael Cogswell
Jiasen Lu
Stefan Lee
Devi Parikh
Dhruv Batra
16
49
0
19 Apr 2019
A Survey on Traffic Signal Control Methods
A Survey on Traffic Signal Control Methods
Hua Wei
Guanjie Zheng
Vikash V. Gayah
Z. Li
19
233
0
17 Apr 2019
GraphTSNE: A Visualization Technique for Graph-Structured Data
GraphTSNE: A Visualization Technique for Graph-Structured Data
Yao Yang Leow
T. Laurent
Xavier Bresson
11
18
0
15 Apr 2019
Two Body Problem: Collaborative Visual Task Completion
Two Body Problem: Collaborative Visual Task Completion
Unnat Jain
Luca Weihs
Eric Kolve
Mohammad Rastegari
Svetlana Lazebnik
Ali Farhadi
A. Schwing
Aniruddha Kembhavi
20
70
0
11 Apr 2019
Reasoning Visual Dialogs with Structural and Partial Observations
Reasoning Visual Dialogs with Structural and Partial Observations
Zilong Zheng
Wenguan Wang
Siyuan Qi
Song-Chun Zhu
39
117
0
11 Apr 2019
Policy Distillation and Value Matching in Multiagent Reinforcement
  Learning
Policy Distillation and Value Matching in Multiagent Reinforcement Learning
Samir Wadhwania
Dong-Ki Kim
Shayegan Omidshafiei
Jonathan P. How
9
25
0
15 Mar 2019
On the Pitfalls of Measuring Emergent Communication
On the Pitfalls of Measuring Emergent Communication
Ryan J. Lowe
Jakob N. Foerster
Y-Lan Boureau
Joelle Pineau
Yann N. Dauphin
20
131
0
12 Mar 2019
Convergence of Multi-Agent Learning with a Finite Step Size in
  General-Sum Games
Convergence of Multi-Agent Learning with a Finite Step Size in General-Sum Games
Xinliang Song
Tonghan Wang
Chongjie Zhang
22
13
0
07 Mar 2019
Concurrent Meta Reinforcement Learning
Concurrent Meta Reinforcement Learning
Emilio Parisotto
Soham Ghosh
S. Yalamanchi
Varsha Chinnaobireddy
Yuhuai Wu
Ruslan Salakhutdinov
LRM
26
17
0
07 Mar 2019
MGpi: A Computational Model of Multiagent Group Perception and
  Interaction
MGpi: A Computational Model of Multiagent Group Perception and Interaction
Navyata Sanghvi
Ryo Yonetani
Kris M. Kitani
24
2
0
04 Mar 2019
Graph Neural Processes: Towards Bayesian Graph Neural Networks
Graph Neural Processes: Towards Bayesian Graph Neural Networks
Andrew N. Carr
David Wingate
BDL
37
12
0
26 Feb 2019
Learning Multi-agent Communication under Limited-bandwidth Restriction
  for Internet Packet Routing
Learning Multi-agent Communication under Limited-bandwidth Restriction for Internet Packet Routing
Hangyu Mao
Zhibo Gong
Zhengchao Zhang
Zhen Xiao
Yan Ni
AI4CE
15
20
0
26 Feb 2019
Analysing Factorizations of Action-Value Networks for Cooperative
  Multi-Agent Reinforcement Learning
Analysing Factorizations of Action-Value Networks for Cooperative Multi-Agent Reinforcement Learning
Jacopo Castellini
F. Oliehoek
Rahul Savani
Shimon Whiteson
20
3
0
20 Feb 2019
Emergent Coordination Through Competition
Emergent Coordination Through Competition
Siqi Liu
Guy Lever
J. Merel
S. Tunyasuvunakool
N. Heess
T. Graepel
34
148
0
19 Feb 2019
Winning an Election: On Emergent Strategic Communication in Multi-Agent
  Networks
Winning an Election: On Emergent Strategic Communication in Multi-Agent Networks
Shubham Gupta
Ambedkar Dukkipati
11
4
0
19 Feb 2019
Decentralized Multi-Agents by Imitation of a Centralized Controller
Decentralized Multi-Agents by Imitation of a Centralized Controller
A. Lin
Mark J. Debord
Katia Estabridis
G. Hewer
Guido Montufar
Stanley Osher
13
6
0
06 Feb 2019
Learning to Schedule Communication in Multi-agent Reinforcement Learning
Learning to Schedule Communication in Multi-agent Reinforcement Learning
Daewoo Kim
Sang-chul Moon
D. Hostallero
Wan Ju Kang
Taeyoung Lee
Kyunghwan Son
Yung Yi
29
205
0
05 Feb 2019
The Hanabi Challenge: A New Frontier for AI Research
The Hanabi Challenge: A New Frontier for AI Research
Nolan Bard
Jakob N. Foerster
A. Chandar
Neil Burch
Marc Lanctot
...
Iain Dunning
Shibl Mourad
Hugo Larochelle
Marc G. Bellemare
Michael H. Bowling
LLMAG
13
351
0
01 Feb 2019
Feudal Multi-Agent Hierarchies for Cooperative Reinforcement Learning
Feudal Multi-Agent Hierarchies for Cooperative Reinforcement Learning
S. Ahilan
Peter Dayan
11
75
0
24 Jan 2019
Decentralization of Multiagent Policies by Learning What to Communicate
Decentralization of Multiagent Policies by Learning What to Communicate
James Paulos
Steven W. Chen
Daigo Shishika
Vijay R. Kumar
14
30
0
24 Jan 2019
Hierarchical Reinforcement Learning for Multi-agent MOBA Game
Hierarchical Reinforcement Learning for Multi-agent MOBA Game
Zhijian Zhang
Haozheng Li
Lu Zhang
Tianyin Zheng
Ting Zhang
Xiong Hao
Xiaoxin Chen
Min Chen
Fangxu Xiao
Wei Zhou
9
15
0
23 Jan 2019
Improving Coordination in Small-Scale Multi-Agent Deep Reinforcement
  Learning through Memory-driven Communication
Improving Coordination in Small-Scale Multi-Agent Deep Reinforcement Learning through Memory-driven Communication
E. Pesce
Giovanni Montana
17
71
0
12 Jan 2019
Deep Reinforcement Learning for Multi-Agent Systems: A Review of
  Challenges, Solutions and Applications
Deep Reinforcement Learning for Multi-Agent Systems: A Review of Challenges, Solutions and Applications
Thanh Thi Nguyen
Ngoc Duy Nguyen
S. Nahavandi
19
773
0
31 Dec 2018
Learning when to Communicate at Scale in Multiagent Cooperative and
  Competitive Tasks
Learning when to Communicate at Scale in Multiagent Cooperative and Competitive Tasks
Amanpreet Singh
Tushar Jain
Sainbayar Sukhbaatar
20
239
0
23 Dec 2018
Graph Neural Networks: A Review of Methods and Applications
Graph Neural Networks: A Review of Methods and Applications
Jie Zhou
Ganqu Cui
Shengding Hu
Zhengyan Zhang
Cheng Yang
Zhiyuan Liu
Lifeng Wang
Changcheng Li
Maosong Sun
AI4CE
GNN
28
5,396
0
20 Dec 2018
Hierarchical Macro Strategy Model for MOBA Game AI
Hierarchical Macro Strategy Model for MOBA Game AI
Bin Wu
Qiang Fu
Jing Liang
Peng-fei Qu
Xiaoqian Li
Liang Wang
Wei Liu
Wei Yang
Yongsheng Liu
24
63
0
19 Dec 2018
ABC: A Big CAD Model Dataset For Geometric Deep Learning
ABC: A Big CAD Model Dataset For Geometric Deep Learning
Sebastian Koch
Albert Matveev
Zhongshi Jiang
Francis Williams
Alexey Artemov
Evgeny Burnaev
M. Alexa
Denis Zorin
Daniele Panozzo
3DPC
3DV
17
445
0
15 Dec 2018
Deep Learning on Graphs: A Survey
Deep Learning on Graphs: A Survey
Ziwei Zhang
Peng Cui
Wenwu Zhu
GNN
39
1,320
0
11 Dec 2018
Cooperative Multi-Agent Policy Gradients with Sub-optimal Demonstration
Cooperative Multi-Agent Policy Gradients with Sub-optimal Demonstration
Peixi Peng
Junliang Xing
20
0
0
05 Dec 2018
Multi-agent Deep Reinforcement Learning with Extremely Noisy
  Observations
Multi-agent Deep Reinforcement Learning with Extremely Noisy Observations
Ozsel Kilinc
Giovanni Montana
13
26
0
03 Dec 2018
An Introduction to Deep Reinforcement Learning
An Introduction to Deep Reinforcement Learning
Vincent François-Lavet
Peter Henderson
Riashat Islam
Marc G. Bellemare
Joelle Pineau
OffRL
AI4CE
80
1,233
0
30 Nov 2018
Bayesian graph convolutional neural networks for semi-supervised
  classification
Bayesian graph convolutional neural networks for semi-supervised classification
Yingxue Zhang
Soumyasundar Pal
Mark J. Coates
Deniz Üstebay
GNN
BDL
19
227
0
27 Nov 2018
Deep Geometric Prior for Surface Reconstruction
Deep Geometric Prior for Surface Reconstruction
Francis Williams
T. Schneider
Claudio Silva
Denis Zorin
Joan Bruna
Daniele Panozzo
3DPC
14
190
0
27 Nov 2018
Parameter Sharing Reinforcement Learning Architecture for Multi Agent
  Driving Behaviors
Parameter Sharing Reinforcement Learning Architecture for Multi Agent Driving Behaviors
Meha Kaushik
S. Phaniteja
K. M. Krishna
AI4CE
9
11
0
17 Nov 2018
Bayesian Action Decoder for Deep Multi-Agent Reinforcement Learning
Bayesian Action Decoder for Deep Multi-Agent Reinforcement Learning
Jakob N. Foerster
H. F. Song
Edward Hughes
Neil Burch
Iain Dunning
Shimon Whiteson
M. Botvinick
Michael H. Bowling
16
148
0
04 Nov 2018
Multi-Agent Common Knowledge Reinforcement Learning
Multi-Agent Common Knowledge Reinforcement Learning
Christian Schroeder de Witt
Jakob N. Foerster
Gregory Farquhar
Philip H. S. Torr
Wendelin Bohmer
Shimon Whiteson
11
107
0
27 Oct 2018
TarMAC: Targeted Multi-Agent Communication
TarMAC: Targeted Multi-Agent Communication
Abhishek Das
Théophile Gervet
Joshua Romoff
Dhruv Batra
Devi Parikh
Michael G. Rabbat
Joelle Pineau
22
378
0
26 Oct 2018
Graph Convolutional Reinforcement Learning
Graph Convolutional Reinforcement Learning
Jiechuan Jiang
Chen Dun
Tiejun Huang
Zongqing Lu
GNN
11
335
0
22 Oct 2018
Towards Efficient Large-Scale Graph Neural Network Computing
Towards Efficient Large-Scale Graph Neural Network Computing
Lingxiao Ma
Zhi-Xin Yang
Youshan Miao
Jilong Xue
Ming Wu
Lidong Zhou
Yafei Dai
GNN
13
16
0
19 Oct 2018
Deep Reinforcement Learning
Deep Reinforcement Learning
Yuxi Li
VLM
OffRL
25
144
0
15 Oct 2018
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