Aprendizado por Reforço com Valores deInfluência em Sistemas Multi-Agente
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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| フォーマット: | doctoralThesis |
| 言語: | por |
| 出版事項: |
Universidade Federal do Rio Grande do Norte
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| オンライン･アクセス: | https://repositorio.ufrn.br/jspui/handle/123456789/15140 |
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