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Revisiting the Master-Slave Architecture in Multi-Agent Deep
  Reinforcement Learning

Revisiting the Master-Slave Architecture in Multi-Agent Deep Reinforcement Learning

20 December 2017
Xiangyu Kong
Bo Xin
Fangchen Liu
Yizhou Wang
ArXivPDFHTML

Papers citing "Revisiting the Master-Slave Architecture in Multi-Agent Deep Reinforcement Learning"

6 / 6 papers shown
Title
Multi-agent Reinforcement Learning: A Comprehensive Survey
Multi-agent Reinforcement Learning: A Comprehensive Survey
Dom Huh
Prasant Mohapatra
AI4CE
28
8
0
15 Dec 2023
Decentralized Coordination in Partially Observable Queueing Networks
Decentralized Coordination in Partially Observable Queueing Networks
Jiekai Jia
Anam Tahir
Heinz Koeppl
37
1
0
29 Aug 2022
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
A Survey of Deep Reinforcement Learning in Video Games
A Survey of Deep Reinforcement Learning in Video Games
Kun Shao
Zhentao Tang
Yuanheng Zhu
Nannan Li
Dongbin Zhao
OffRL
AI4TS
23
188
0
23 Dec 2019
Improving Coordination in Small-Scale Multi-Agent Deep Reinforcement
  Learning through Memory-driven Communication
Improving Coordination in Small-Scale Multi-Agent Deep Reinforcement Learning through Memory-driven Communication
E. Pesce
Giovanni Montana
15
71
0
12 Jan 2019
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 H. S. Torr
Pushmeet Kohli
Shimon Whiteson
OffRL
109
595
0
28 Feb 2017
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