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Learning to Communicate with Deep Multi-Agent Reinforcement Learning

Learning to Communicate with Deep Multi-Agent Reinforcement Learning

21 May 2016
Jakob N. Foerster
Yannis Assael
Nando de Freitas
Shimon Whiteson
ArXivPDFHTML

Papers citing "Learning to Communicate with Deep Multi-Agent Reinforcement Learning"

50 / 271 papers shown
Title
Natural Actor-Critic Converges Globally for Hierarchical Linear
  Quadratic Regulator
Natural Actor-Critic Converges Globally for Hierarchical Linear Quadratic Regulator
Yuwei Luo
Zhuoran Yang
Zhaoran Wang
Mladen Kolar
26
9
0
14 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
16
82
0
04 Dec 2019
Neighborhood Cognition Consistent Multi-Agent Reinforcement Learning
Neighborhood Cognition Consistent Multi-Agent Reinforcement Learning
Hangyu Mao
Wulong Liu
Jianye Hao
Jun Luo
Dong Li
Zhengchao Zhang
Jun Wang
Zhen Xiao
OffRL
27
74
0
03 Dec 2019
Stigmergic Independent Reinforcement Learning for Multi-Agent
  Collaboration
Stigmergic Independent Reinforcement Learning for Multi-Agent Collaboration
Xing Xu
Rongpeng Li
Zhifeng Zhao
Honggang Zhang
28
24
0
28 Nov 2019
Multi-Agent Reinforcement Learning: A Selective Overview of Theories and
  Algorithms
Multi-Agent Reinforcement Learning: A Selective Overview of Theories and Algorithms
Kaipeng Zhang
Zhuoran Yang
Tamer Basar
49
1,180
0
24 Nov 2019
Multi-Agent Connected Autonomous Driving using Deep Reinforcement
  Learning
Multi-Agent Connected Autonomous Driving using Deep Reinforcement Learning
Praveen Palanisamy
34
142
0
11 Nov 2019
Capacity, Bandwidth, and Compositionality in Emergent Language Learning
Capacity, Bandwidth, and Compositionality in Emergent Language Learning
Cinjon Resnick
Abhinav Gupta
Jakob N. Foerster
Andrew M. Dai
Kyunghyun Cho
18
51
0
24 Oct 2019
Multi-agent Hierarchical Reinforcement Learning with Dynamic Termination
Multi-agent Hierarchical Reinforcement Learning with Dynamic Termination
Dongge Han
Wendelin Bohmer
Michael Wooldridge
A. Rogers
22
17
0
21 Oct 2019
A New Framework for Multi-Agent Reinforcement Learning -- Centralized
  Training and Exploration with Decentralized Execution via Policy Distillation
A New Framework for Multi-Agent Reinforcement Learning -- Centralized Training and Exploration with Decentralized Execution via Policy Distillation
Gang Chen
17
40
0
21 Oct 2019
A Structured Prediction Approach for Generalization in Cooperative
  Multi-Agent Reinforcement Learning
A Structured Prediction Approach for Generalization in Cooperative Multi-Agent Reinforcement Learning
Nicolas Carion
Gabriel Synnaeve
A. Lazaric
Nicolas Usunier
24
29
0
19 Oct 2019
Learning from My Partner's Actions: Roles in Decentralized Robot Teams
Learning from My Partner's Actions: Roles in Decentralized Robot Teams
Dylan P. Losey
Mengxi Li
Jeannette Bohg
Dorsa Sadigh
16
24
0
16 Oct 2019
MAVEN: Multi-Agent Variational Exploration
MAVEN: Multi-Agent Variational Exploration
Anuj Mahajan
Tabish Rashid
Mikayel Samvelyan
Shimon Whiteson
DRL
137
355
0
16 Oct 2019
Influence-Based Multi-Agent Exploration
Influence-Based Multi-Agent Exploration
Tonghan Wang
Jianhao Wang
Yi Wu
Chongjie Zhang
16
137
0
12 Oct 2019
Learning Nearly Decomposable Value Functions Via Communication
  Minimization
Learning Nearly Decomposable Value Functions Via Communication Minimization
Tonghan Wang
Jianhao Wang
Chongyi Zheng
Chongjie Zhang
17
133
0
11 Oct 2019
Can I Trust the Explainer? Verifying Post-hoc Explanatory Methods
Can I Trust the Explainer? Verifying Post-hoc Explanatory Methods
Oana-Maria Camburu
Eleonora Giunchiglia
Jakob N. Foerster
Thomas Lukasiewicz
Phil Blunsom
FAtt
AAML
23
59
0
04 Oct 2019
A Generalized Training Approach for Multiagent Learning
A Generalized Training Approach for Multiagent Learning
Paul Muller
Shayegan Omidshafiei
Mark Rowland
K. Tuyls
Julien Perolat
...
Zhe Wang
Guy Lever
N. Heess
T. Graepel
Rémi Munos
20
89
0
27 Sep 2019
Deep Coordination Graphs
Deep Coordination Graphs
Wendelin Bohmer
Vitaly Kurin
Shimon Whiteson
GNN
21
174
0
27 Sep 2019
Bi-level Actor-Critic for Multi-agent Coordination
Bi-level Actor-Critic for Multi-agent Coordination
Haifeng Zhang
Weizhe Chen
Zeren Huang
Minne Li
Yaodong Yang
Weinan Zhang
Jun Wang
98
91
0
08 Sep 2019
No Press Diplomacy: Modeling Multi-Agent Gameplay
No Press Diplomacy: Modeling Multi-Agent Gameplay
Philip Paquette
Yuchen Lu
Steven Bocco
Max O. Smith
Satya Ortiz-Gagné
Jonathan K. Kummerfeld
Satinder Singh
Joelle Pineau
Aaron Courville
25
57
0
04 Sep 2019
A Review of Cooperative Multi-Agent Deep Reinforcement Learning
A Review of Cooperative Multi-Agent Deep Reinforcement Learning
Afshin Oroojlooyjadid
Davood Hajinezhad
48
412
0
11 Aug 2019
Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a
  Latent Variable Model
Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model
Alex X. Lee
Anusha Nagabandi
Pieter Abbeel
Sergey Levine
OffRL
BDL
25
371
0
01 Jul 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
Teaching on a Budget in Multi-Agent Deep Reinforcement Learning
Teaching on a Budget in Multi-Agent Deep Reinforcement Learning
Ercüment Ilhan
Jeremy Gow
Diego Perez-Liebana
14
35
0
19 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
Learning to Collocate Neural Modules for Image Captioning
Learning to Collocate Neural Modules for Image Captioning
Xu Yang
Hanwang Zhang
Jianfei Cai
19
77
0
18 Apr 2019
A cooperative game for automated learning of elasto-plasticity knowledge
  graphs and models with AI-guided experimentation
A cooperative game for automated learning of elasto-plasticity knowledge graphs and models with AI-guided experimentation
Kun Wang
WaiChing Sun
Q. Du
AI4CE
23
56
0
08 Mar 2019
Message-Dropout: An Efficient Training Method for Multi-Agent Deep
  Reinforcement Learning
Message-Dropout: An Efficient Training Method for Multi-Agent Deep Reinforcement Learning
Woojun Kim
Myungsik Cho
Y. Sung
17
55
0
18 Feb 2019
Emergent Linguistic Phenomena in Multi-Agent Communication Games
Emergent Linguistic Phenomena in Multi-Agent Communication Games
L. Graesser
Kyunghyun Cho
Douwe Kiela
LLMAG
AI4CE
17
69
0
25 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
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
23
239
0
23 Dec 2018
Learning to Communicate: A Machine Learning Framework for Heterogeneous
  Multi-Agent Robotic Systems
Learning to Communicate: A Machine Learning Framework for Heterogeneous Multi-Agent Robotic Systems
Hyung-Jin Yoon
Huaiyu Chen
Kehan Long
Heling Zhang
Aditya Gahlawat
Donghwan Lee
N. Hovakimyan
21
6
0
13 Dec 2018
On the potential for open-endedness in neural networks
On the potential for open-endedness in neural networks
N. Guttenberg
N. Virgo
A. Penn
13
10
0
12 Dec 2018
Counterfactual Critic Multi-Agent Training for Scene Graph Generation
Counterfactual Critic Multi-Agent Training for Scene Graph Generation
Long Chen
Hanwang Zhang
Jun Xiao
Xiangnan He
Shiliang Pu
Shih-Fu Chang
14
159
0
06 Dec 2018
Evolving intrinsic motivations for altruistic behavior
Evolving intrinsic motivations for altruistic behavior
Jane X. Wang
Edward Hughes
Chrisantha Fernando
Wojciech M. Czarnecki
Edgar A. Duénez-Guzmán
Joel Z Leibo
19
76
0
14 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 Bowling
16
148
0
04 Nov 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
Multi-Agent Actor-Critic with Generative Cooperative Policy Network
Multi-Agent Actor-Critic with Generative Cooperative Policy Network
Heechang Ryu
Hayong Shin
Jinkyoo Park
6
12
0
22 Oct 2018
Social Influence as Intrinsic Motivation for Multi-Agent Deep
  Reinforcement Learning
Social Influence as Intrinsic Motivation for Multi-Agent Deep Reinforcement Learning
Natasha Jaques
Angeliki Lazaridou
Edward Hughes
Çağlar Gülçehre
Pedro A. Ortega
D. Strouse
Joel Z Leibo
Nando de Freitas
23
57
0
19 Oct 2018
A Survey and Critique of Multiagent Deep Reinforcement Learning
A Survey and Critique of Multiagent Deep Reinforcement Learning
Pablo Hernandez-Leal
Bilal Kartal
Matthew E. Taylor
OffRL
32
550
0
12 Oct 2018
Actor-Attention-Critic for Multi-Agent Reinforcement Learning
Actor-Attention-Critic for Multi-Agent Reinforcement Learning
Shariq Iqbal
Fei Sha
6
737
0
05 Oct 2018
Factorized Q-Learning for Large-Scale Multi-Agent Systems
Factorized Q-Learning for Large-Scale Multi-Agent Systems
M. Zhou
Yong Chen
Ying Wen
Yaodong Yang
Yufeng Su
Weinan Zhang
Dell Zhang
Jun Wang
AI4CE
27
68
0
11 Sep 2018
Multi-Agent Generative Adversarial Imitation Learning
Multi-Agent Generative Adversarial Imitation Learning
Jiaming Song
Hongyu Ren
Dorsa Sadigh
Stefano Ermon
GAN
27
215
0
26 Jul 2018
Human-level performance in first-person multiplayer games with
  population-based deep reinforcement learning
Human-level performance in first-person multiplayer games with population-based deep reinforcement learning
Max Jaderberg
Wojciech M. Czarnecki
Iain Dunning
Luke Marris
Guy Lever
...
Joel Z Leibo
David Silver
Demis Hassabis
Koray Kavukcuoglu
T. Graepel
OffRL
32
714
0
03 Jul 2018
Multi-Agent Deep Reinforcement Learning with Human Strategies
Multi-Agent Deep Reinforcement Learning with Human Strategies
Thanh Nguyen
Ngoc Duy Nguyen
S. Nahavandi
22
12
0
12 Jun 2018
Adaptive Mechanism Design: Learning to Promote Cooperation
Adaptive Mechanism Design: Learning to Promote Cooperation
T. Baumann
T. Graepel
John Shawe-Taylor
14
26
0
11 Jun 2018
Relational inductive biases, deep learning, and graph networks
Relational inductive biases, deep learning, and graph networks
Peter W. Battaglia
Jessica B. Hamrick
V. Bapst
Alvaro Sanchez-Gonzalez
V. Zambaldi
...
Pushmeet Kohli
M. Botvinick
Oriol Vinyals
Yujia Li
Razvan Pascanu
AI4CE
NAI
97
3,078
0
04 Jun 2018
Multi-Agent Reinforcement Learning via Double Averaging Primal-Dual
  Optimization
Multi-Agent Reinforcement Learning via Double Averaging Primal-Dual Optimization
Hoi-To Wai
Zhuoran Yang
Zhaoran Wang
Mingyi Hong
24
169
0
03 Jun 2018
Planning, Inference and Pragmatics in Sequential Language Games
Planning, Inference and Pragmatics in Sequential Language Games
Fereshte Khani
Noah D. Goodman
Percy Liang
LRM
22
25
0
30 May 2018
Multiagent Soft Q-Learning
Multiagent Soft Q-Learning
E. Wei
Drew Wicke
David Freelan
S. Luke
15
79
0
25 Apr 2018
Vehicle Communication Strategies for Simulated Highway Driving
Vehicle Communication Strategies for Simulated Highway Driving
Cinjon Resnick
I. Kulikov
Kyunghyun Cho
Jason Weston
17
7
0
19 Apr 2018
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