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1602.02672
Cited By
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
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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
Ashok Arora
Neetesh Kumar
36
0
0
16 May 2025
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
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
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
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
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
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
Zefang Zong
Tao Feng
Tong Xia
Depeng Jin
Yong Li
22
3
0
10 Aug 2021
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
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
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
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
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
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
Amanpreet Singh
Tushar Jain
Sainbayar Sukhbaatar
29
240
0
23 Dec 2018
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
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
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
Cinjon Resnick
I. Kulikov
Kyunghyun Cho
Jason Weston
22
7
0
19 Apr 2018
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
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
Katrina Evtimova
Andrew Drozdov
Douwe Kiela
Kyunghyun Cho
25
31
0
29 May 2017
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
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
Angeliki Lazaridou
A. Peysakhovich
Marco Baroni
LLMAG
60
429
0
21 Dec 2016
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
Emilio Jorge
Mikael Kågebäck
Fredrik D. Johansson
E. Gustavsson
34
67
0
10 Nov 2016
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
Guillaume Lample
Devendra Singh Chaplot
OffRL
EgoV
28
583
0
18 Sep 2016
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
S. Bennati
20
7
0
22 Feb 2016
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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