Aprendizado por Reforço com Valores deInfluência em Sistemas Multi-Agente

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We propose a new paradigm for collective learning in multi-agent systems (MAS) as a solution to the problem in which several agents acting over the same environment must learn how to perform tasks, simultaneously, based on feedbacks given by each one of the other agents. We introduce the proposed pa...

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Bibliographic Details
Main Author: Aranibar, Dennis Barrios
Other Authors: Gonçalves, Luiz Marcos Garcia
Format: doctoralThesis
Language:por
Published: Universidade Federal do Rio Grande do Norte
Subjects:
Sistemas Multi-Agente
Coordenação
Colaboração
Aprendizado por reforço
Auto-Organização
Multi agent systems
Coordination
Collaboration
Reinforcement learning
Self-organization
CNPQ::ENGENHARIAS::ENGENHARIA ELETRICA
Online Access:https://repositorio.ufrn.br/jspui/handle/123456789/15140
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https://repositorio.ufrn.br/jspui/handle/123456789/15140

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