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Learning Correlated Communication Topology in Multi-Agent R..:

, In: Proceedings of the 20th International Conference on Autonomous Agents and MultiAgent Systems,

Du, Yali ; Liu, Bo ; Moens, Vincent... - p. 456-464 , 2021

Link: https://dl.acm.org/doi/10.5555/3463952.3464010

RT 
T1 <cTitle>Proceedings of the 20th International Conference on Autonomous Agents and MultiAgent Systems</cTitle>: T1 <Title>Learning Correlated Communication Topology in Multi-Agent Reinforcement learning</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3464010&Exemplar=1&LAN=DE
				
A1 Du, Yali
A1 Liu, Bo
A1 Moens, Vincent
A1 Liu, Ziqi
A1 Ren, Zhicheng
A1 Wang, Jun
A1 Chen, Xu
A1 Zhang, Haifeng
PB International Foundation for Autonomous Agents and Multiagent Systems
YR 2021
K1 communication topology
K1 multi-agent systems
K1 reinforcement learning
K1 Computing methodologies
K1 Artificial intelligence
K1 Distributed artificial intelligence
K1 Multi-agent systems
K1 Machine learning
K1 Learning paradigms
K1 Reinforcement learning
K1 Multi-agent reinforcement learning
K1 Intelligent agents
K1 Machine learning approaches
K1 Partially-observable Markov decision processes
K1 Cooperation and coordination
SP 456
OP 464
LK http://dx.doi.org/https://dl.acm.org/doi/10.5555/3463952.3464010
DO https://dl.acm.org/doi/10.5555/3463952.3464010
SF ELIB - SuUB Bremen

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