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Multiagent Cooperation and Competition with Deep Reinforcement Learning

Multiagent Cooperation and Competition with Deep Reinforcement Learning

27 November 2015
Ardi Tampuu
Tambet Matiisen
Dorian Kodelja
Ilya Kuzovkin
Kristjan Korjus
Juhan Aru
Jaan Aru
Raul Vicente
ArXivPDFHTML

Papers citing "Multiagent Cooperation and Competition with Deep Reinforcement Learning"

40 / 290 papers shown
Title
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
CM3: Cooperative Multi-goal Multi-stage Multi-agent Reinforcement
  Learning
CM3: Cooperative Multi-goal Multi-stage Multi-agent Reinforcement Learning
Jiachen Yang
A. Nakhaei
David Isele
K. Fujimura
H. Zha
29
75
0
13 Sep 2018
Emergence of Scenario-Appropriate Collaborative Behaviors for Teams of
  Robotic Bodyguards
Emergence of Scenario-Appropriate Collaborative Behaviors for Teams of Robotic Bodyguards
Hassam Sheikh
Ladislau Bölöni
13
3
0
12 Sep 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
32
68
0
11 Sep 2018
APES: a Python toolbox for simulating reinforcement learning
  environments
APES: a Python toolbox for simulating reinforcement learning environments
Aqeel Labash
Ardi Tampuu
Tambet Matiisen
Jaan Aru
Raul Vicente
14
2
0
31 Aug 2018
Multi-Agent Deep Reinforcement Learning for Dynamic Power Allocation in
  Wireless Networks
Multi-Agent Deep Reinforcement Learning for Dynamic Power Allocation in Wireless Networks
Yasar Sinan Nasir
Dongning Guo
17
464
0
01 Aug 2018
Adaptive Mechanism Design: Learning to Promote Cooperation
Adaptive Mechanism Design: Learning to Promote Cooperation
T. Baumann
T. Graepel
John Shawe-Taylor
16
26
0
11 Jun 2018
Scalable Centralized Deep Multi-Agent Reinforcement Learning via Policy
  Gradients
Scalable Centralized Deep Multi-Agent Reinforcement Learning via Policy Gradients
Arbaaz Khan
Clark Zhang
Daniel D. Lee
Vijay Kumar
Alejandro Ribeiro
6
30
0
22 May 2018
The Sharer's Dilemma in Collective Adaptive Systems of Self-Interested
  Agents
The Sharer's Dilemma in Collective Adaptive Systems of Self-Interested Agents
Lenz Belzner
Kyrill Schmid
Thomy Phan
Thomas Gabor
M. Wirsing
19
4
0
28 Apr 2018
Leveraging Statistical Multi-Agent Online Planning with Emergent Value
  Function Approximation
Leveraging Statistical Multi-Agent Online Planning with Emergent Value Function Approximation
Thomy Phan
Lenz Belzner
Thomas Gabor
Kyrill Schmid
OffRL
16
15
0
17 Apr 2018
QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent
  Reinforcement Learning
QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning
Tabish Rashid
Mikayel Samvelyan
Christian Schroeder de Witt
Gregory Farquhar
Jakob N. Foerster
Shimon Whiteson
78
1,656
0
30 Mar 2018
What deep learning can tell us about higher cognitive functions like
  mindreading?
What deep learning can tell us about higher cognitive functions like mindreading?
Jaan Aru
Raul Vicente
AIMat
27
3
0
28 Mar 2018
Intent-aware Multi-agent Reinforcement Learning
Intent-aware Multi-agent Reinforcement Learning
Siyuan Qi
Song-Chun Zhu
16
30
0
06 Mar 2018
Deep Reinforcement Learning for Sponsored Search Real-time Bidding
Deep Reinforcement Learning for Sponsored Search Real-time Bidding
Jun Zhao
Guang Qiu
Ziyu Guan
Wei Zhao
Xiaofei He
18
81
0
01 Mar 2018
Efficient Collaborative Multi-Agent Deep Reinforcement Learning for
  Large-Scale Fleet Management
Efficient Collaborative Multi-Agent Deep Reinforcement Learning for Large-Scale Fleet Management
Kaixiang Lin
Renyu Zhao
Zhe Xu
Jiayu Zhou
10
8
0
18 Feb 2018
Modeling the Formation of Social Conventions from Embodied Real-Time
  Interactions
Modeling the Formation of Social Conventions from Embodied Real-Time Interactions
Ismael T. Freire
Clément Moulin-Frier
Martí Sánchez-Fibla
X. Arsiwalla
P. Verschure
23
15
0
16 Feb 2018
Deep Reinforcement Learning of Cell Movement in the Early Stage of C.
  elegans Embryogenesis
Deep Reinforcement Learning of Cell Movement in the Early Stage of C. elegans Embryogenesis
Zehao Wang
Dali Wang
Chengcheng Li
Yichi Xu
Husheng Li
Z. Bao
21
35
0
14 Jan 2018
A Deep Policy Inference Q-Network for Multi-Agent Systems
A Deep Policy Inference Q-Network for Multi-Agent Systems
Zhang-Wei Hong
Shih-Yang Su
Tzu-Yun Shann
Yi-Hsiang Chang
Chun-Yi Lee
17
85
0
21 Dec 2017
Action Branching Architectures for Deep Reinforcement Learning
Action Branching Architectures for Deep Reinforcement Learning
Arash Tavakoli
Fabio Pardo
Petar Kormushev
22
258
0
24 Nov 2017
A Unified Game-Theoretic Approach to Multiagent Reinforcement Learning
A Unified Game-Theoretic Approach to Multiagent Reinforcement Learning
Marc Lanctot
V. Zambaldi
A. Gruslys
Angeliki Lazaridou
K. Tuyls
Julien Perolat
David Silver
T. Graepel
36
628
0
02 Nov 2017
Consequentialist conditional cooperation in social dilemmas with
  imperfect information
Consequentialist conditional cooperation in social dilemmas with imperfect information
A. Peysakhovich
Adam Lerer
38
65
0
19 Oct 2017
Emergent Complexity via Multi-Agent Competition
Emergent Complexity via Multi-Agent Competition
Trapit Bansal
J. Pachocki
Szymon Sidor
Ilya Sutskever
Igor Mordatch
16
384
0
10 Oct 2017
Parameter Sharing Deep Deterministic Policy Gradient for Cooperative
  Multi-agent Reinforcement Learning
Parameter Sharing Deep Deterministic Policy Gradient for Cooperative Multi-agent Reinforcement Learning
Xiangxiang Chu
Hangjun Ye
25
56
0
01 Oct 2017
Prosocial learning agents solve generalized Stag Hunts better than
  selfish ones
Prosocial learning agents solve generalized Stag Hunts better than selfish ones
A. Peysakhovich
Adam Lerer
32
107
0
08 Sep 2017
Deep Learning for Video Game Playing
Deep Learning for Video Game Playing
Niels Justesen
Philip Bontrager
Julian Togelius
S. Risi
VLM
24
206
0
25 Aug 2017
A Survey of Learning in Multiagent Environments: Dealing with
  Non-Stationarity
A Survey of Learning in Multiagent Environments: Dealing with Non-Stationarity
Pablo Hernandez-Leal
Michael Kaisers
T. Baarslag
Enrique Munoz de Cote
21
272
0
28 Jul 2017
Lenient Multi-Agent Deep Reinforcement Learning
Lenient Multi-Agent Deep Reinforcement Learning
Gregory Palmer
K. Tuyls
D. Bloembergen
Rahul Savani
20
160
0
14 Jul 2017
Maintaining cooperation in complex social dilemmas using deep
  reinforcement learning
Maintaining cooperation in complex social dilemmas using deep reinforcement learning
Adam Lerer
A. Peysakhovich
42
159
0
04 Jul 2017
ACCNet: Actor-Coordinator-Critic Net for "Learning-to-Communicate" with
  Deep Multi-agent Reinforcement Learning
ACCNet: Actor-Coordinator-Critic Net for "Learning-to-Communicate" with Deep Multi-agent Reinforcement Learning
Hangyu Mao
Zhibo Gong
Yan Ni
Zhen Xiao
30
44
0
10 Jun 2017
Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments
Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments
Ryan J. Lowe
Yi Wu
Aviv Tamar
J. Harb
Pieter Abbeel
Igor Mordatch
49
4,407
0
07 Jun 2017
The Morphospace of Consciousness
The Morphospace of Consciousness
X. Arsiwalla
Ricard Sole
Clément Moulin-Frier
Ivan Herreros-Alonso
Martí Sánchez-Fibla
P. Verschure
13
27
0
31 May 2017
Counterfactual Multi-Agent Policy Gradients
Counterfactual Multi-Agent Policy Gradients
Jakob N. Foerster
Gregory Farquhar
Triantafyllos Afouras
Nantas Nardelli
Shimon Whiteson
36
2,042
0
24 May 2017
Dynamic Safe Interruptibility for Decentralized Multi-Agent
  Reinforcement Learning
Dynamic Safe Interruptibility for Decentralized Multi-Agent Reinforcement Learning
El-Mahdi El-Mhamdi
R. Guerraoui
Hadrien Hendrikx
Alexandre Maurer
8
28
0
10 Apr 2017
Embodied Artificial Intelligence through Distributed Adaptive Control:
  An Integrated Framework
Embodied Artificial Intelligence through Distributed Adaptive Control: An Integrated Framework
Clément Moulin-Frier
J. Puigbò
X. Arsiwalla
Martí Sánchez-Fibla
P. Verschure
11
25
0
05 Apr 2017
Stabilising Experience Replay for Deep Multi-Agent Reinforcement
  Learning
Stabilising Experience Replay for Deep Multi-Agent Reinforcement Learning
Jakob N. Foerster
Nantas Nardelli
Gregory Farquhar
Triantafyllos Afouras
Philip Torr
Pushmeet Kohli
Shimon Whiteson
OffRL
134
595
0
28 Feb 2017
Opponent Modeling in Deep Reinforcement Learning
Opponent Modeling in Deep Reinforcement Learning
He He
Jordan L. Boyd-Graber
Kevin Kwok
Hal Daumé III
BDL
31
324
0
18 Sep 2016
Learning Multiagent Communication with Backpropagation
Learning Multiagent Communication with Backpropagation
Sainbayar Sukhbaatar
Arthur Szlam
Rob Fergus
47
1,137
0
25 May 2016
Learning to Communicate with Deep Multi-Agent Reinforcement Learning
Learning to Communicate with Deep Multi-Agent Reinforcement Learning
Jakob N. Foerster
Yannis Assael
Nando de Freitas
Shimon Whiteson
46
1,595
0
21 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
17
7
0
22 Feb 2016
Learning to Communicate to Solve Riddles with Deep Distributed Recurrent
  Q-Networks
Learning to Communicate to Solve Riddles with Deep Distributed Recurrent Q-Networks
Jakob N. Foerster
Yannis Assael
Nando de Freitas
Shimon Whiteson
15
147
0
08 Feb 2016
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