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S2RL: Do We Really Need to Perceive All States in Deep Multi-Agent
  Reinforcement Learning?

S2RL: Do We Really Need to Perceive All States in Deep Multi-Agent Reinforcement Learning?

20 June 2022
Shuang Luo
Yinchuan Li
Jiahui Li
Kun Kuang
Furui Liu
Yunfeng Shao
Chao-Xiang Wu
    OffRL
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Papers citing "S2RL: Do We Really Need to Perceive All States in Deep Multi-Agent Reinforcement Learning?"

3 / 3 papers shown
Title
ROMA: Multi-Agent Reinforcement Learning with Emergent Roles
ROMA: Multi-Agent Reinforcement Learning with Emergent Roles
Tonghan Wang
Heng Dong
V. Lesser
Chongjie Zhang
55
210
0
18 Mar 2020
Deep Reinforcement Learning for Autonomous Driving: A Survey
Deep Reinforcement Learning for Autonomous Driving: A Survey
B. R. Kiran
Ibrahim Sobh
V. Talpaert
Patrick Mannion
A. A. Sallab
S. Yogamani
P. Pérez
165
1,632
0
02 Feb 2020
MAVEN: Multi-Agent Variational Exploration
MAVEN: Multi-Agent Variational Exploration
Anuj Mahajan
Tabish Rashid
Mikayel Samvelyan
Shimon Whiteson
DRL
137
355
0
16 Oct 2019
1