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Learning to Communicate to Solve Riddles with Deep Distributed Recurrent
  Q-Networks

Learning to Communicate to Solve Riddles with Deep Distributed Recurrent Q-Networks

8 February 2016
Jakob N. Foerster
Yannis Assael
Nando de Freitas
Shimon Whiteson
ArXivPDFHTML

Papers citing "Learning to Communicate to Solve Riddles with Deep Distributed Recurrent Q-Networks"

32 / 32 papers shown
Title
Bi-directional Recurrence Improves Transformer in Partially Observable Markov Decision Processes
Bi-directional Recurrence Improves Transformer in Partially Observable Markov Decision Processes
Ashok Arora
Neetesh Kumar
36
0
0
16 May 2025
Deep Transformer Q-Networks for Partially Observable Reinforcement
  Learning
Deep Transformer Q-Networks for Partially Observable Reinforcement Learning
Kevin Esslinger
Robert W. Platt
Chris Amato
OffRL
35
35
0
02 Jun 2022
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
48
52
0
28 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
Alex Schwing
Svetlana Lazebnik
Manolis Savva
Angel X. Chang
LM&Ro
24
25
0
12 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
48
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
62
55
0
28 Sep 2021
Socially Supervised Representation Learning: the Role of Subjectivity in
  Learning Efficient Representations
Socially Supervised Representation Learning: the Role of Subjectivity in Learning Efficient Representations
Julius Taylor
Eleni Nisioti
Clément Moulin-Frier
19
0
0
20 Sep 2021
Deep Reinforcement Learning for Demand Driven Services in Logistics and
  Transportation Systems: A Survey
Deep Reinforcement Learning for Demand Driven Services in Logistics and Transportation Systems: A Survey
Zefang Zong
Tao Feng
Tong Xia
Depeng Jin
Yong Li
22
3
0
10 Aug 2021
Reinforcement Communication Learning in Different Social Network
  Structures
Reinforcement Communication Learning in Different Social Network Structures
M. Dubova
A. Moskvichev
Robert L. Goldstone
GNN
22
9
0
19 Jul 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
Deep Reinforcement Learning for Autonomous Internet of Things: Model,
  Applications and Challenges
Deep Reinforcement Learning for Autonomous Internet of Things: Model, Applications and Challenges
Lei Lei
Yue Tan
Kan Zheng
Shiwen Liu
K. Zheng
Xuemin Shen
Shen
OffRL
21
202
0
22 Jul 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
28
131
0
12 Mar 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 Kumar
14
30
0
24 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
27
774
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
29
240
0
23 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
31
63
0
19 Dec 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
18
148
0
04 Nov 2018
Deep Variational Reinforcement Learning for POMDPs
Deep Variational Reinforcement Learning for POMDPs
Maximilian Igl
L. Zintgraf
T. Le
Frank Wood
Shimon Whiteson
BDL
OffRL
21
258
0
06 Jun 2018
Vehicle Communication Strategies for Simulated Highway Driving
Vehicle Communication Strategies for Simulated Highway Driving
Cinjon Resnick
I. Kulikov
Kyunghyun Cho
Jason Weston
22
7
0
19 Apr 2018
Modeling Others using Oneself in Multi-Agent Reinforcement Learning
Modeling Others using Oneself in Multi-Agent Reinforcement Learning
Roberta Raileanu
Emily L. Denton
Arthur Szlam
Rob Fergus
28
199
0
26 Feb 2018
A Brief Survey of Deep Reinforcement Learning
A Brief Survey of Deep Reinforcement Learning
Kai Arulkumaran
M. Deisenroth
Miles Brundage
Anil Anthony Bharath
OffRL
62
2,776
0
19 Aug 2017
Emergent Communication in a Multi-Modal, Multi-Step Referential Game
Emergent Communication in a Multi-Modal, Multi-Step Referential Game
Katrina Evtimova
Andrew Drozdov
Douwe Kiela
Kyunghyun Cho
25
31
0
29 May 2017
On Improving Deep Reinforcement Learning for POMDPs
On Improving Deep Reinforcement Learning for POMDPs
Pengfei Zhu
Xin Li
Pascal Poupart
Guanghui Miao
27
123
0
26 Apr 2017
Deep Decentralized Multi-task Multi-Agent Reinforcement Learning under
  Partial Observability
Deep Decentralized Multi-task Multi-Agent Reinforcement Learning under Partial Observability
Shayegan Omidshafiei
Jason Pazis
Chris Amato
Jonathan P. How
J. Vian
19
496
0
17 Mar 2017
Multi-Agent Cooperation and the Emergence of (Natural) Language
Multi-Agent Cooperation and the Emergence of (Natural) Language
Angeliki Lazaridou
A. Peysakhovich
Marco Baroni
LLMAG
60
429
0
21 Dec 2016
Nonparametric General Reinforcement Learning
Nonparametric General Reinforcement Learning
Jan Leike
OffRL
39
26
0
28 Nov 2016
Learning to Play Guess Who? and Inventing a Grounded Language as a
  Consequence
Learning to Play Guess Who? and Inventing a Grounded Language as a Consequence
Emilio Jorge
Mikael Kågebäck
Fredrik D. Johansson
E. Gustavsson
34
67
0
10 Nov 2016
Opponent Modeling in Deep Reinforcement Learning
Opponent Modeling in Deep Reinforcement Learning
He He
Jordan L. Boyd-Graber
Kevin Kwok
Hal Daumé III
BDL
40
323
0
18 Sep 2016
Playing FPS Games with Deep Reinforcement Learning
Playing FPS Games with Deep Reinforcement Learning
Guillaume Lample
Devendra Singh Chaplot
OffRL
EgoV
28
583
0
18 Sep 2016
Learning Multiagent Communication with Backpropagation
Learning Multiagent Communication with Backpropagation
Sainbayar Sukhbaatar
Arthur Szlam
Rob Fergus
70
1,138
0
25 May 2016
On the Role of Collective Sensing and Evolution in Group Formation
On the Role of Collective Sensing and Evolution in Group Formation
S. Bennati
20
7
0
22 Feb 2016
Multiagent Cooperation and Competition with Deep Reinforcement Learning
Multiagent Cooperation and Competition with Deep Reinforcement Learning
Ardi Tampuu
Tambet Matiisen
Dorian Kodelja
Ilya Kuzovkin
Kristjan Korjus
Juhan Aru
Jaan Aru
Raul Vicente
59
858
0
27 Nov 2015
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