Training a gaming agent on brainwaves online: using brain signals as feedback for reinforcement learning

"This thesis replicates and proposes an alternative method to train reinforcement learning algorithms with ErrP signals, captured through EEG, and validate the effectiveness of its use in a prototype application."

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Detalles Bibliográficos
Autores principales: Abelenda, Marcos, Vázquez, Agustín Ignacio, Manganaro Bello, Santiago
Otros Autores: Ramele, Rodrigo
Formato: Proyecto final de Grado
Lenguaje:Inglés
Publicado: 2021
Materias:
Acceso en línea:http://ri.itba.edu.ar/handle/123456789/3387
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Descripción
Sumario:"This thesis replicates and proposes an alternative method to train reinforcement learning algorithms with ErrP signals, captured through EEG, and validate the effectiveness of its use in a prototype application."