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Sparse Training Theory for Scalable and Efficient Agents:

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

Mocanu, Decebal Constantin ; Mocanu, Elena ; Pinto, Tiago... - p. 34-38 , 2021

Link: https://dl.acm.org/doi/10.5555/3463952.3463960

RT 
T1 <cTitle>Proceedings of the 20th International Conference on Autonomous Agents and MultiAgent Systems</cTitle>: T1 <Title>Sparse Training Theory for Scalable and Efficient Agents</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3463960&Exemplar=1&LAN=DE
				
A1 Mocanu, Decebal Constantin
A1 Mocanu, Elena
A1 Pinto, Tiago
A1 Curci, Selima
A1 Nguyen, Phuong H.
A1 Gibescu, Madeleine
A1 Ernst, Damien
A1 Vale, Zita A.
PB International Foundation for Autonomous Agents and Multiagent Systems
YR 2021
K1 autonomous agents
K1 intelligent agents
K1 scalable deep learning
K1 smart grid
K1 sparse neural networks
K1 sparse training
K1 Computing methodologies
K1 Machine learning
K1 Machine learning approaches
K1 Neural networks
K1 Artificial intelligence
K1 Distributed artificial intelligence
K1 Intelligent agents
K1 Theory of computation
K1 Theory and algorithms for application domains
K1 Machine learning theory
K1 Multi-agent learning
K1 Models of learning
K1 Multi-agent systems
SP 34
OP 38
LK http://dx.doi.org/https://dl.acm.org/doi/10.5555/3463952.3463960
DO https://dl.acm.org/doi/10.5555/3463952.3463960
SF ELIB - SuUB Bremen

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