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Feudal Multi-Agent Deep Reinforcement Learning for Traffic ..:

, In: Proceedings of the 19th International Conference on Autonomous Agents and MultiAgent Systems,

Ma, Jinming ; Wu, Feng - p. 816-824 , 2020

Link: https://dl.acm.org/doi/10.5555/3398761.3398858

RT 
T1 <cTitle>Proceedings of the 19th International Conference on Autonomous Agents and MultiAgent Systems</cTitle>: T1 <Title>Feudal Multi-Agent Deep Reinforcement Learning for Traffic Signal Control</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3398858&Exemplar=1&LAN=DE
				
A1 Ma, Jinming
A1 Wu, Feng
PB International Foundation for Autonomous Agents and Multiagent Systems
YR 2020
K1 deep reinforcement learning
K1 feudal reinforcement learning
K1 multi-agent reinforcement learning
K1 traffic signal control
K1 Computing methodologies
K1 Artificial intelligence
K1 Distributed artificial intelligence
K1 Cooperation and coordination
K1 Machine learning
K1 Learning paradigms
K1 Reinforcement learning
K1 Multi-agent reinforcement learning
K1 Multi-agent systems
K1 Machine learning algorithms
K1 Dynamic programming for Markov decision processes
SP 816
OP 824
LK http://dx.doi.org/https://dl.acm.org/doi/10.5555/3398761.3398858
DO https://dl.acm.org/doi/10.5555/3398761.3398858
SF ELIB - SuUB Bremen

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