Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
1605.07736
Cited By
Learning Multiagent Communication with Backpropagation
25 May 2016
Sainbayar Sukhbaatar
Arthur Szlam
Rob Fergus
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Learning Multiagent Communication with Backpropagation"
50 / 530 papers shown
Title
Learning Connectivity for Data Distribution in Robot Teams
Ekaterina V. Tolstaya
Landon Butler
Daniel Mox
James Paulos
Vijay Kumar
Alejandro Ribeiro
22
10
0
08 Mar 2021
Inference-Based Deterministic Messaging For Multi-Agent Communication
Varun Bhatt
M. Buro
28
4
0
03 Mar 2021
Learning Emergent Discrete Message Communication for Cooperative Reinforcement Learning
Sheng Li
Yutai Zhou
R. Allen
Mykel J. Kochenderfer
34
13
0
24 Feb 2021
Credit Assignment with Meta-Policy Gradient for Multi-Agent Reinforcement Learning
Jianzhun Shao
Hongchang Zhang
Yuhang Jiang
Shuncheng He
Xiangyang Ji
29
5
0
24 Feb 2021
Grounded Relational Inference: Domain Knowledge Driven Explainable Autonomous Driving
Chen Tang
Nishan Srishankar
Sujitha Martin
Masayoshi Tomizuka
50
10
0
23 Feb 2021
Intelligent Electric Vehicle Charging Recommendation Based on Multi-Agent Reinforcement Learning
Weijiao Zhang
Hao Liu
Fan Wang
Tong Xu
Haoran Xin
Dejing Dou
Hui Xiong
35
80
0
15 Feb 2021
Multi-Agent Coordination in Adversarial Environments through Signal Mediated Strategies
Federico Cacciamani
A. Celli
Marco Ciccone
N. Gatti
26
8
0
09 Feb 2021
The emergence of visual semantics through communication games
Daniela Mihai
Jonathon S. Hare
SSL
19
4
0
25 Jan 2021
HAMMER: Multi-Level Coordination of Reinforcement Learning Agents via Learned Messaging
Nikunj Gupta
G. Srinivasaraghavan
S. Mohalik
Nishant Kumar
Matthew E. Taylor
24
15
0
18 Jan 2021
Effective Communications: A Joint Learning and Communication Framework for Multi-Agent Reinforcement Learning over Noisy Channels
Tze-Yang Tung
S. Kobus
Joan S. Pujol Roig
Deniz Gunduz
36
2
0
02 Jan 2021
Learning Fair Policies in Decentralized Cooperative Multi-Agent Reinforcement Learning
Matthieu Zimmer
Claire Glanois
Umer Siddique
Paul Weng
OffRL
25
59
0
17 Dec 2020
Graph Neural Networks: Taxonomy, Advances and Trends
Yu Zhou
Haixia Zheng
Xin Huang
Shufeng Hao
Dengao Li
Jumin Zhao
AI4TS
27
117
0
16 Dec 2020
Open Problems in Cooperative AI
Allan Dafoe
Edward Hughes
Yoram Bachrach
Tantum Collins
Kevin R. McKee
Joel Z Leibo
Kate Larson
T. Graepel
42
200
0
15 Dec 2020
Specializing Inter-Agent Communication in Heterogeneous Multi-Agent Reinforcement Learning using Agent Class Information
Douglas De Rizzo Meneghetti
Reinaldo A. C. Bianchi
AI4CE
24
0
0
14 Dec 2020
Learning Multi-Arm Manipulation Through Collaborative Teleoperation
Albert Tung
J. Wong
Ajay Mandlekar
Roberto Martín-Martín
Yuke Zhu
Li Fei-Fei
Silvio Savarese
30
48
0
12 Dec 2020
PowerNet: Multi-agent Deep Reinforcement Learning for Scalable Powergrid Control
Dong Chen
Kaian Chen
Tianshu Chu
Rui Yao
F. Qiu
Kaixiang Lin
41
65
0
24 Nov 2020
Emergent Road Rules In Multi-Agent Driving Environments
Avik Pal
Jonah Philion
Yuan-Hong Liao
Sanja Fidler
31
11
0
21 Nov 2020
Learning Latent Representations to Influence Multi-Agent Interaction
Annie Xie
Dylan P. Losey
R. Tolsma
Chelsea Finn
Dorsa Sadigh
DRL
21
131
0
12 Nov 2020
Learning to Communicate and Correct Pose Errors
Nicholas Vadivelu
Mengye Ren
James Tu
Jingkang Wang
R. Urtasun
24
63
0
10 Nov 2020
Learning Continuous System Dynamics from Irregularly-Sampled Partial Observations
Zijie Huang
Yizhou Sun
Wei Wang
AI4CE
14
72
0
08 Nov 2020
FireCommander: An Interactive, Probabilistic Multi-agent Environment for Heterogeneous Robot Teams
Esmaeil Seraj
Xiyang Wu
Matthew C. Gombolay
AI4CE
16
9
0
31 Oct 2020
Succinct and Robust Multi-Agent Communication With Temporal Message Control
Shanghang Zhang
Jieyu Lin
Qi Zhang
27
57
0
27 Oct 2020
SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for Autonomous Driving
Ming Zhou
Jun Luo
Julian Villela
Yaodong Yang
David Rusu
...
H. Ammar
Hongbo Zhang
Wulong Liu
Jianye Hao
Jun Wang
139
193
0
19 Oct 2020
Multi-Agent Collaboration via Reward Attribution Decomposition
Tianjun Zhang
Huazhe Xu
Xiaolong Wang
Yi Wu
Kurt Keutzer
Joseph E. Gonzalez
Yuandong Tian
44
40
0
16 Oct 2020
Multi-Agent Trust Region Policy Optimization
Hepeng Li
Haibo He
21
40
0
15 Oct 2020
A game-theoretic analysis of networked system control for common-pool resource management using multi-agent reinforcement learning
Arnu Pretorius
Scott A. Cameron
Elan Van Biljon
Tom Makkink
Shahil Mawjee
J. D. Plessis
Jonathan P. Shock
Alexandre Laterre
Karim Beguir
21
11
0
15 Oct 2020
Event-Triggered Multi-agent Reinforcement Learning with Communication under Limited-bandwidth Constraint
Guangzhen Hu
Yuanheng Zhu
Dongbin Zhao
Mengchen Zhao
Jianye Hao
19
17
0
10 Oct 2020
Self-play for Data Efficient Language Acquisition
Charles Lovering
Ellie Pavlick
SyDa
22
0
0
10 Oct 2020
Graph Convolutional Value Decomposition in Multi-Agent Reinforcement Learning
Navid Naderializadeh
Fan Hung
S. Soleyman
D. Khosla
21
27
0
09 Oct 2020
RODE: Learning Roles to Decompose Multi-Agent Tasks
Tonghan Wang
Tarun Gupta
Anuj Mahajan
Bei Peng
Shimon Whiteson
Chongjie Zhang
OffRL
30
204
0
04 Oct 2020
Correcting Experience Replay for Multi-Agent Communication
S. Ahilan
Peter Dayan
22
10
0
02 Oct 2020
Computing Graph Neural Networks: A Survey from Algorithms to Accelerators
S. Abadal
Akshay Jain
Robert Guirado
Jorge López-Alonso
Eduard Alarcón
GNN
41
226
0
30 Sep 2020
Towards Heterogeneous Multi-Agent Reinforcement Learning with Graph Neural Networks
Douglas De Rizzo Meneghetti
Reinaldo A. C. Bianchi
22
9
0
28 Sep 2020
With Whom to Communicate: Learning Efficient Communication for Multi-Robot Collision Avoidance
Álvaro Serra-Gómez
B. Brito
Hai Zhu
Jen Jen Chung
Javier Alonso-Mora
37
18
0
25 Sep 2020
GraphNorm: A Principled Approach to Accelerating Graph Neural Network Training
Tianle Cai
Shengjie Luo
Keyulu Xu
Di He
Tie-Yan Liu
Liwei Wang
GNN
32
160
0
07 Sep 2020
Document-editing Assistants and Model-based Reinforcement Learning as a Path to Conversational AI
Katya Kudashkina
P. Pilarski
R. Sutton
KELM
25
6
0
27 Aug 2020
Communicative Reinforcement Learning Agents for Landmark Detection in Brain Images
Guy Leroy
Daniel Rueckert
A. Alansary
OffRL
18
19
0
18 Aug 2020
Learning Complex Multi-Agent Policies in Presence of an Adversary
Siddharth Ghiya
Katia Sycara
18
3
0
18 Aug 2020
Deep Q-Network Based Multi-agent Reinforcement Learning with Binary Action Agents
A. M. Hafiz
G. M. Bhat
AI4CE
28
2
0
06 Aug 2020
The Emergence of Adversarial Communication in Multi-Agent Reinforcement Learning
J. Blumenkamp
Amanda Prorok
AAML
AI4CE
16
59
0
06 Aug 2020
Learning Agile Locomotion via Adversarial Training
Yujin Tang
Jie Tan
Tatsuya Harada
31
15
0
03 Aug 2020
Off-Policy Multi-Agent Decomposed Policy Gradients
Yihan Wang
Beining Han
Tonghan Wang
Heng Dong
Chongjie Zhang
35
174
0
24 Jul 2020
Reinforcement Communication Learning in Different Social Network Structures
M. Dubova
A. Moskvichev
Robert L. Goldstone
GNN
22
9
0
19 Jul 2020
Dynamic Relational Inference in Multi-Agent Trajectories
Ruichao Xiao
Manish Kumar Singh
Rose Yu
36
2
0
16 Jul 2020
Optimizing Memory Placement using Evolutionary Graph Reinforcement Learning
Shauharda Khadka
Estelle Aflalo
Mattias Marder
Avrech Ben-David
Santiago Miret
Shie Mannor
Tamir Hazan
Hanlin Tang
Somdeb Majumdar
GNN
29
11
0
14 Jul 2020
Multi-Agent Routing Value Iteration Network
Quinlan Sykora
Mengye Ren
R. Urtasun
32
38
0
09 Jul 2020
A Cordial Sync: Going Beyond Marginal Policies for Multi-Agent Embodied Tasks
Unnat Jain
Luca Weihs
Eric Kolve
Ali Farhadi
Svetlana Lazebnik
Aniruddha Kembhavi
Alex Schwing
26
55
0
09 Jul 2020
One Policy to Control Them All: Shared Modular Policies for Agent-Agnostic Control
Wenlong Huang
Igor Mordatch
Deepak Pathak
51
167
0
09 Jul 2020
Natural Emergence of Heterogeneous Strategies in Artificially Intelligent Competitive Teams
A. Deka
Katia Sycara
AAML
31
32
0
06 Jul 2020
Efficient Marginalization of Discrete and Structured Latent Variables via Sparsity
Gonçalo M. Correia
Vlad Niculae
Wilker Aziz
André F. T. Martins
BDL
30
22
0
03 Jul 2020
Previous
1
2
3
...
5
6
7
...
9
10
11
Next