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A Survey and Critique of Multiagent Deep Reinforcement Learning

A Survey and Critique of Multiagent Deep Reinforcement Learning

12 October 2018
Pablo Hernandez-Leal
Bilal Kartal
Matthew E. Taylor
    OffRL
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Papers citing "A Survey and Critique of Multiagent Deep Reinforcement Learning"

30 / 80 papers shown
Title
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
31
130
0
25 May 2021
Pervasive AI for IoT applications: A Survey on Resource-efficient
  Distributed Artificial Intelligence
Pervasive AI for IoT applications: A Survey on Resource-efficient Distributed Artificial Intelligence
Emna Baccour
N. Mhaisen
A. Abdellatif
A. Erbad
Amr M. Mohamed
Mounir Hamdi
Mohsen Guizani
30
86
0
04 May 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
34
23
0
23 Mar 2021
Multi-Task Federated Reinforcement Learning with Adversaries
Multi-Task Federated Reinforcement Learning with Adversaries
Aqeel Anwar
A. Raychowdhury
AAML
FedML
13
20
0
11 Mar 2021
Expected Value of Communication for Planning in Ad Hoc Teamwork
Expected Value of Communication for Planning in Ad Hoc Teamwork
William Macke
Reuth Mirsky
Peter Stone
37
25
0
01 Mar 2021
A Survey on Deep Reinforcement Learning for Audio-Based Applications
A Survey on Deep Reinforcement Learning for Audio-Based Applications
S. Latif
Heriberto Cuayáhuitl
Farrukh Pervez
Fahad Shamshad
Hafiz Shehbaz Ali
Min Zhang
OffRL
47
73
0
01 Jan 2021
Single and Multi-Agent Deep Reinforcement Learning for AI-Enabled
  Wireless Networks: A Tutorial
Single and Multi-Agent Deep Reinforcement Learning for AI-Enabled Wireless Networks: A Tutorial
Amal Feriani
Ekram Hossain
35
237
0
06 Nov 2020
A DRL-based Multiagent Cooperative Control Framework for CAV Networks: a
  Graphic Convolution Q Network
A DRL-based Multiagent Cooperative Control Framework for CAV Networks: a Graphic Convolution Q Network
Jiqian Dong
Sikai Chen
P. Ha
Yujie Li
S. Labi
13
37
0
12 Oct 2020
QR-MIX: Distributional Value Function Factorisation for Cooperative Multi-Agent Reinforcement Learning
Jian Hu
Seth Austin Harding
Haibin Wu
Siyue Hu
Shih-Wei Liao
29
9
0
09 Sep 2020
More Than Privacy: Applying Differential Privacy in Key Areas of
  Artificial Intelligence
More Than Privacy: Applying Differential Privacy in Key Areas of Artificial Intelligence
Tianqing Zhu
Dayong Ye
Wei Wang
Wanlei Zhou
Philip S. Yu
SyDa
38
125
0
05 Aug 2020
Benchmarking Multi-Agent Deep Reinforcement Learning Algorithms in
  Cooperative Tasks
Benchmarking Multi-Agent Deep Reinforcement Learning Algorithms in Cooperative Tasks
Georgios Papoudakis
Filippos Christianos
Lukas Schafer
Stefano V. Albrecht
OffRL
26
220
0
14 Jun 2020
A Deep Ensemble Multi-Agent Reinforcement Learning Approach for Air
  Traffic Control
A Deep Ensemble Multi-Agent Reinforcement Learning Approach for Air Traffic Control
Supriyo Ghosh
Sean Laguna
Shiau Hong Lim
L. Wynter
Hasan A. Poonawala
27
14
0
03 Apr 2020
Distributed Reinforcement Learning for Cooperative Multi-Robot Object
  Manipulation
Distributed Reinforcement Learning for Cooperative Multi-Robot Object Manipulation
Guohui Ding
Joewie J. Koh
Kelly Merckaert
B. Vanderborght
M. Nicotra
Christoffer Heckman
A. Roncone
Lijun Chen
OffRL
21
21
0
21 Mar 2020
An Efficient Transfer Learning Framework for Multiagent Reinforcement
  Learning
An Efficient Transfer Learning Framework for Multiagent Reinforcement Learning
Tianpei Yang
Weixun Wang
Hongyao Tang
Jianye Hao
Zhaopeng Meng
...
Wulong Liu
Chen Zhang
Yujing Hu
Yingfeng Chen
Changjie Fan
26
22
0
19 Feb 2020
Learning Multi-Agent Coordination through Connectivity-driven
  Communication
Learning Multi-Agent Coordination through Connectivity-driven Communication
E. Pesce
Giovanni Montana
24
15
0
12 Feb 2020
Mean-Field Controls with Q-learning for Cooperative MARL: Convergence
  and Complexity Analysis
Mean-Field Controls with Q-learning for Cooperative MARL: Convergence and Complexity Analysis
Haotian Gu
Xin Guo
Xiaoli Wei
Renyuan Xu
32
65
0
10 Feb 2020
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
58
1,181
0
24 Nov 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
22
40
0
21 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
22
89
0
27 Sep 2019
A Review of Cooperative Multi-Agent Deep Reinforcement Learning
A Review of Cooperative Multi-Agent Deep Reinforcement Learning
Afshin Oroojlooyjadid
Davood Hajinezhad
51
412
0
11 Aug 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
27
33
0
17 May 2019
A Deep Recurrent Q Network towards Self-adapting Distributed
  Microservices architecture
A Deep Recurrent Q Network towards Self-adapting Distributed Microservices architecture
Basel Magableh
29
15
0
13 Jan 2019
An Introduction to Deep Reinforcement Learning
An Introduction to Deep Reinforcement Learning
Vincent François-Lavet
Peter Henderson
Riashat Islam
Marc G. Bellemare
Joelle Pineau
OffRL
AI4CE
82
1,234
0
30 Nov 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
Negative Update Intervals in Deep Multi-Agent Reinforcement Learning
Negative Update Intervals in Deep Multi-Agent Reinforcement Learning
Gregory Palmer
Rahul Savani
K. Tuyls
28
27
0
13 Sep 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
Building machines that adapt and compute like brains
Building machines that adapt and compute like brains
Brenden M. Lake
J. Tenenbaum
AI4CE
FedML
NAI
AILaw
254
890
0
11 Nov 2017
Emergence of Locomotion Behaviours in Rich Environments
Emergence of Locomotion Behaviours in Rich Environments
N. Heess
TB Dhruva
S. Sriram
Jay Lemmon
J. Merel
...
Tom Erez
Ziyun Wang
S. M. Ali Eslami
Martin Riedmiller
David Silver
143
928
0
07 Jul 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
On the Origin of Deep Learning
On the Origin of Deep Learning
Haohan Wang
Bhiksha Raj
MedIm
3DV
VLM
48
223
0
24 Feb 2017
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