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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
PatchGame: Learning to Signal Mid-level Patches in Referential Games
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
Investigation of Independent Reinforcement Learning Algorithms in
  Multi-Agent Environments
Investigation of Independent Reinforcement Learning Algorithms in Multi-Agent Environments
Ken Ming Lee
Sriram Ganapathi Subramanian
Mark Crowley
18
8
0
01 Nov 2021
Learning Distilled Collaboration Graph for Multi-Agent Perception
Learning Distilled Collaboration Graph for Multi-Agent Perception
Yiming Li
Shunli Ren
Pengxiang Wu
Siheng Chen
Chen Feng
Wenjun Zhang
27
237
0
01 Nov 2021
Learning to Communicate with Reinforcement Learning for an Adaptive
  Traffic Control System
Learning to Communicate with Reinforcement Learning for an Adaptive Traffic Control System
Simon Vanneste
Gauthier de Borrekens
Stig Bosmans
Astrid Vanneste
Kevin Mets
Siegfried Mercelis
Steven Latré
P. Hellinckx
8
1
0
29 Oct 2021
Mixed Cooperative-Competitive Communication Using Multi-Agent
  Reinforcement Learning
Mixed Cooperative-Competitive Communication Using Multi-Agent Reinforcement Learning
Astrid Vanneste
Wesley Van Wijnsberghe
Simon Vanneste
Kevin Mets
Siegfried Mercelis
Steven Latré
P. Hellinckx
12
4
0
29 Oct 2021
Learning to Ground Multi-Agent Communication with Autoencoders
Learning to Ground Multi-Agent Communication with Autoencoders
Toru Lin
Minyoung Huh
C. Stauffer
Ser-Nam Lim
Phillip Isola
AI4CE
40
52
0
28 Oct 2021
Dynamic population-based meta-learning for multi-agent communication
  with natural language
Dynamic population-based meta-learning for multi-agent communication with natural language
Abhinav Gupta
Marc Lanctot
Angeliki Lazaridou
LLMAG
25
20
0
27 Oct 2021
ToM2C: Target-oriented Multi-agent Communication and Cooperation with
  Theory of Mind
ToM2C: Target-oriented Multi-agent Communication and Cooperation with Theory of Mind
Yuan-Fang Wang
Fangwei Zhong
Jing Xu
Yizhou Wang
LLMAG
19
68
0
15 Oct 2021
Graph Neural Networks with Learnable Structural and Positional
  Representations
Graph Neural Networks with Learnable Structural and Positional Representations
Vijay Prakash Dwivedi
A. Luu
T. Laurent
Yoshua Bengio
Xavier Bresson
GNN
197
309
0
15 Oct 2021
HAVEN: Hierarchical Cooperative Multi-Agent Reinforcement Learning with
  Dual Coordination Mechanism
HAVEN: Hierarchical Cooperative Multi-Agent Reinforcement Learning with Dual Coordination Mechanism
Zhiwei Xu
Yunpeng Bai
Bin Zhang
Dapeng Li
Guoliang Fan
22
23
0
14 Oct 2021
Interpretation of Emergent Communication in Heterogeneous Collaborative
  Embodied Agents
Interpretation of Emergent Communication in Heterogeneous Collaborative Embodied Agents
Shivansh Patel
Saim Wani
Unnat Jain
A. Schwing
Svetlana Lazebnik
Manolis Savva
Angel X. Chang
LM&Ro
24
25
0
12 Oct 2021
Learning Efficient Multi-Agent Cooperative Visual Exploration
Learning Efficient Multi-Agent Cooperative Visual Exploration
Chao Yu
Xinyi Yang
Jiaxuan Gao
Huazhong Yang
Yu Wang
Yi Wu
13
28
0
12 Oct 2021
Multi-Agent MDP Homomorphic Networks
Multi-Agent MDP Homomorphic Networks
Elise van der Pol
H. V. Hoof
F. Oliehoek
Max Welling
AI4CE
46
28
0
09 Oct 2021
AB-Mapper: Attention and BicNet Based Multi-agent Path Finding for
  Dynamic Crowded Environment
AB-Mapper: Attention and BicNet Based Multi-agent Path Finding for Dynamic Crowded Environment
Huifeng Guan
Yuan Gao
Ming Zhao
Yong Yang
Fuqin Deng
Tin Lun Lam
27
2
0
02 Oct 2021
Emergence of Theory of Mind Collaboration in Multiagent Systems
Emergence of Theory of Mind Collaboration in Multiagent Systems
Luyao Yuan
Zipeng Fu
Linqi Zhou
Kexin Yang
Song-Chun Zhu
46
10
0
30 Sep 2021
Deep Reinforcement Learning Versus Evolution Strategies: A Comparative
  Survey
Deep Reinforcement Learning Versus Evolution Strategies: A Comparative Survey
Amjad Yousef Majid
Serge Saaybi
Tomas van Rietbergen
Vincent François-Lavet
R. V. Prasad
Chris Verhoeven
OffRL
57
54
0
28 Sep 2021
Reinforced Natural Language Interfaces via Entropy Decomposition
Reinforced Natural Language Interfaces via Entropy Decomposition
Xiaoran Wu
Yipeng Kang
LLMAG
27
0
0
23 Sep 2021
Learning Multi-agent Action Coordination via Electing First-move Agent
Learning Multi-agent Action Coordination via Electing First-move Agent
Jingqing Ruan
Linghui Meng
Xuantang Xiong
Dengpeng Xing
Bo Xu
13
2
0
20 Sep 2021
Soft Hierarchical Graph Recurrent Networks for Many-Agent Partially
  Observable Environments
Soft Hierarchical Graph Recurrent Networks for Many-Agent Partially Observable Environments
Zhenhui Ye
Xiaohong Jiang
Guang-hua Song
Bowei Yang
25
1
0
05 Sep 2021
MACRPO: Multi-Agent Cooperative Recurrent Policy Optimization
MACRPO: Multi-Agent Cooperative Recurrent Policy Optimization
E. Kargar
Ville Kyrki
16
2
0
02 Sep 2021
Learning Meta Representations for Agents in Multi-Agent Reinforcement
  Learning
Learning Meta Representations for Agents in Multi-Agent Reinforcement Learning
Shenao Zhang
Li Shen
Lei Han
Li Shen
16
7
0
30 Aug 2021
Federated Reinforcement Learning: Techniques, Applications, and Open
  Challenges
Federated Reinforcement Learning: Techniques, Applications, and Open Challenges
Jiaju Qi
Qihao Zhou
Lei Lei
Kan Zheng
FedML
31
145
0
26 Aug 2021
Heterogeneous Graph Attention Networks for Learning Diverse
  Communication
Heterogeneous Graph Attention Networks for Learning Diverse Communication
Esmaeil Seraj
Zheyuan Wang
Rohan R. Paleja
Matt B Sklar
Anirudh Patel
Matthew C. Gombolay
24
19
0
21 Aug 2021
Mis-spoke or mis-lead: Achieving Robustness in Multi-Agent Communicative
  Reinforcement Learning
Mis-spoke or mis-lead: Achieving Robustness in Multi-Agent Communicative Reinforcement Learning
Wanqi Xue
Wei Qiu
Bo An
Zinovi Rabinovich
S. Obraztsova
C. Yeo
AAML
45
34
0
09 Aug 2021
Emergent Discrete Communication in Semantic Spaces
Emergent Discrete Communication in Semantic Spaces
Mycal Tucker
Huao Li
Siddharth Agrawal
Dana Hughes
Katia P. Sycara
Michael Lewis
J. Shah
13
28
0
04 Aug 2021
Communicating via Markov Decision Processes
Communicating via Markov Decision Processes
Samuel Sokota
Christian Schroeder de Witt
Maximilian Igl
L. Zintgraf
Philip H. S. Torr
Martin Strohmeier
J. Zico Kolter
Shimon Whiteson
Jakob N. Foerster
16
10
0
17 Jul 2021
Multi-Agent Imitation Learning with Copulas
Multi-Agent Imitation Learning with Copulas
Hongwei Wang
Lantao Yu
Zhangjie Cao
Stefano Ermon
AI4CE
35
12
0
10 Jul 2021
Collaborative Visual Navigation
Collaborative Visual Navigation
Haiyang Wang
Wenguan Wang
Xizhou Zhu
Jifeng Dai
Liwei Wang
EgoV
26
20
0
02 Jul 2021
Deep Multiagent Reinforcement Learning: Challenges and Directions
Deep Multiagent Reinforcement Learning: Challenges and Directions
Annie Wong
Thomas Bäck
Anna V. Kononova
Aske Plaat
AI4CE
28
87
0
29 Jun 2021
MMD-MIX: Value Function Factorisation with Maximum Mean Discrepancy for
  Cooperative Multi-Agent Reinforcement Learning
MMD-MIX: Value Function Factorisation with Maximum Mean Discrepancy for Cooperative Multi-Agent Reinforcement Learning
Zhiwei Xu
Dapeng Li
Yunpeng Bai
Guoliang Fan
6
11
0
22 Jun 2021
Conditional Neural Relational Inference for Interacting Systems
Conditional Neural Relational Inference for Interacting Systems
Joao A. Candido Ramos
Lionel Blondé
S. Armand
Alexandros Kalousis
14
49
0
21 Jun 2021
Minimizing Communication while Maximizing Performance in Multi-Agent
  Reinforcement Learning
Minimizing Communication while Maximizing Performance in Multi-Agent Reinforcement Learning
V. Vijay
Hassam Sheikh
Somdeb Majumdar
Mariano Phielipp
22
5
0
15 Jun 2021
A Game-Theoretic Approach to Multi-Agent Trust Region Optimization
A Game-Theoretic Approach to Multi-Agent Trust Region Optimization
Ying Wen
Hui Chen
Yaodong Yang
Zheng Tian
Minne Li
Xu Chen
Jun Wang
38
11
0
12 Jun 2021
Metric Policy Representations for Opponent Modeling
Metric Policy Representations for Opponent Modeling
Haobin Jiang
Yifan Yu
Zongqing Lu
11
1
0
10 Jun 2021
Interpretable agent communication from scratch (with a generic visual
  processor emerging on the side)
Interpretable agent communication from scratch (with a generic visual processor emerging on the side)
Roberto Dessì
Eugene Kharitonov
Marco Baroni
29
27
0
08 Jun 2021
Truthful Self-Play
Truthful Self-Play
Shohei Ohsawa
13
0
0
06 Jun 2021
SHAQ: Incorporating Shapley Value Theory into Multi-Agent Q-Learning
SHAQ: Incorporating Shapley Value Theory into Multi-Agent Q-Learning
Jianhong Wang
Yuan Zhang
Yunjie Gu
Tae-Kyun Kim
OffRL
FAtt
13
19
0
31 May 2021
Learning to Optimize Industry-Scale Dynamic Pickup and Delivery Problems
Learning to Optimize Industry-Scale Dynamic Pickup and Delivery Problems
Xijun Li
Weilin Luo
Mingxuan Yuan
Jun Wang
Jiawen Lu
Jie Wang
Jinhu Lu
Jia Zeng
11
40
0
27 May 2021
TexRel: a Green Family of Datasets for Emergent Communications on
  Relations
TexRel: a Green Family of Datasets for Emergent Communications on Relations
Hugh Perkins
19
2
0
26 May 2021
From Motor Control to Team Play in Simulated Humanoid Football
From Motor Control to Team Play in Simulated Humanoid Football
Siqi Liu
Guy Lever
Zhe Wang
J. Merel
S. M. Ali Eslami
...
Tuomas Haarnoja
Brendan D. Tracey
K. Tuyls
T. Graepel
N. Heess
24
129
0
25 May 2021
Attention-based Reinforcement Learning for Real-Time UAV Semantic
  Communication
Attention-based Reinforcement Learning for Real-Time UAV Semantic Communication
Won Joon Yun
Byungju Lim
Soyi Jung
Young-Chai Ko
Jihong Park
Joongheon Kim
M. Bennis
16
33
0
22 May 2021
SIDE: State Inference for Partially Observable Cooperative Multi-Agent
  Reinforcement Learning
SIDE: State Inference for Partially Observable Cooperative Multi-Agent Reinforcement Learning
Zhiwei Xu
Yunru Bai
Dapeng Li
Bin Zhang
Guoliang Fan
22
9
0
13 May 2021
Visual Perspective Taking for Opponent Behavior Modeling
Visual Perspective Taking for Opponent Behavior Modeling
Boyuan Chen
Yuhang Hu
Robert Kwiatkowski
Shuran Song
Hod Lipson
13
11
0
11 May 2021
Iterated learning for emergent systematicity in VQA
Iterated learning for emergent systematicity in VQA
Ankit Vani
Max Schwarzer
Yucheng Lu
Eeshan Gunesh Dhekane
Aaron C. Courville
70
24
0
03 May 2021
Optimal communication and control strategies in a multi-agent MDP
  problem
Optimal communication and control strategies in a multi-agent MDP problem
Sagar Sudhakara
D. Kartik
Rahul Jain
A. Nayyar
14
3
0
22 Apr 2021
Learning to Coordinate via Multiple Graph Neural Networks
Learning to Coordinate via Multiple Graph Neural Networks
Zhiwei Xu
Bin Zhang
Yunpeng Bai
Dapeng Li
Guoliang Fan
GNN
AI4CE
17
8
0
08 Apr 2021
Flatland Competition 2020: MAPF and MARL for Efficient Train
  Coordination on a Grid World
Flatland Competition 2020: MAPF and MARL for Efficient Train Coordination on a Grid World
Florian Laurent
Manuel Schneider
Christian Scheller
J. Watson
Jiaoyang Li
...
Nilabha Bhattacharya
Shivam Agarwal
A. Egli
Erik Nygren
Sharada Mohanty
36
28
0
30 Mar 2021
Spatial Dual-Modality Graph Reasoning for Key Information Extraction
Spatial Dual-Modality Graph Reasoning for Key Information Extraction
Hongbin Sun
Zhanghui Kuang
Xiaoyu Yue
Chenhao Lin
Wayne Zhang
14
36
0
26 Mar 2021
Spatial Intention Maps for Multi-Agent Mobile Manipulation
Spatial Intention Maps for Multi-Agent Mobile Manipulation
Jimmy Wu
Xingyuan Sun
Andy Zeng
Shuran Song
Szymon Rusinkiewicz
Thomas Funkhouser
13
23
0
23 Mar 2021
Learning Connectivity for Data Distribution in Robot Teams
Learning Connectivity for Data Distribution in Robot Teams
Ekaterina V. Tolstaya
Landon Butler
Daniel Mox
James Paulos
Vijay R. Kumar
Alejandro Ribeiro
14
10
0
08 Mar 2021
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