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Deep Decentralized Multi-task Multi-Agent Reinforcement Learning under
  Partial Observability

Deep Decentralized Multi-task Multi-Agent Reinforcement Learning under Partial Observability

17 March 2017
Shayegan Omidshafiei
Jason Pazis
Chris Amato
Jonathan P. How
J. Vian
ArXivPDFHTML

Papers citing "Deep Decentralized Multi-task Multi-Agent Reinforcement Learning under Partial Observability"

30 / 80 papers shown
Title
Distributed Reinforcement Learning for Decentralized Linear Quadratic
  Control: A Derivative-Free Policy Optimization Approach
Distributed Reinforcement Learning for Decentralized Linear Quadratic Control: A Derivative-Free Policy Optimization Approach
Yingying Li
Yujie Tang
Runyu Zhang
Na Li
16
101
0
19 Dec 2019
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
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
55
1,181
0
24 Nov 2019
A Decentralized Proximal Point-type Method for Saddle Point Problems
A Decentralized Proximal Point-type Method for Saddle Point Problems
Weijie Liu
Aryan Mokhtari
Asuman Ozdaglar
S. Pattathil
Zebang Shen
Nenggan Zheng
67
30
0
31 Oct 2019
Deep Decentralized Reinforcement Learning for Cooperative Control
Deep Decentralized Reinforcement Learning for Cooperative Control
Florian Köpf
Samuel Tesfazgi
M. Flad
Sören Hohmann
18
2
0
29 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
19
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
20
89
0
27 Sep 2019
Learning Multi-Robot Decentralized Macro-Action-Based Policies via a
  Centralized Q-Net
Learning Multi-Robot Decentralized Macro-Action-Based Policies via a Centralized Q-Net
Yuchen Xiao
Joshua Hoffman
Tian Xia
Chris Amato
24
27
0
19 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
A Review of Cooperative Multi-Agent Deep Reinforcement Learning
A Review of Cooperative Multi-Agent Deep Reinforcement Learning
Afshin Oroojlooyjadid
Davood Hajinezhad
48
408
0
11 Aug 2019
When Multiple Agents Learn to Schedule: A Distributed Radio Resource
  Management Framework
When Multiple Agents Learn to Schedule: A Distributed Radio Resource Management Framework
Navid Naderializadeh
J. Sydir
M. Simsek
Hosein Nikopour
S. Talwar
6
9
0
20 Jun 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
24
15
0
13 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
29
239
0
23 Dec 2018
Communication-Efficient Policy Gradient Methods for Distributed
  Reinforcement Learning
Communication-Efficient Policy Gradient Methods for Distributed Reinforcement Learning
Tianyi Chen
Kaipeng Zhang
G. Giannakis
Tamer Basar
OffRL
29
41
0
07 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
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
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
26
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
20
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
14
26
0
11 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
30
169
0
03 Jun 2018
On Gradient-Based Learning in Continuous Games
On Gradient-Based Learning in Continuous Games
Eric Mazumdar
Lillian J. Ratliff
S. Shankar Sastry
6
134
0
16 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
51
1,654
0
30 Mar 2018
D$^2$: Decentralized Training over Decentralized Data
D2^22: Decentralized Training over Decentralized Data
Hanlin Tang
Xiangru Lian
Ming Yan
Ce Zhang
Ji Liu
18
348
0
19 Mar 2018
Deep Learning in Mobile and Wireless Networking: A Survey
Deep Learning in Mobile and Wireless Networking: A Survey
Chaoyun Zhang
P. Patras
Hamed Haddadi
45
1,303
0
12 Mar 2018
Fully Decentralized Multi-Agent Reinforcement Learning with Networked
  Agents
Fully Decentralized Multi-Agent Reinforcement Learning with Networked Agents
Kaipeng Zhang
Zhuoran Yang
Han Liu
Tong Zhang
Tamer Basar
40
582
0
23 Feb 2018
Learning with Opponent-Learning Awareness
Learning with Opponent-Learning Awareness
Jakob N. Foerster
Richard Y. Chen
Maruan Al-Shedivat
Shimon Whiteson
Pieter Abbeel
Igor Mordatch
32
536
0
13 Sep 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
117
595
0
28 Feb 2017
Deep Reinforcement Learning: An Overview
Deep Reinforcement Learning: An Overview
Yuxi Li
OffRL
VLM
104
1,502
0
25 Jan 2017
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