Confidence-based progress-driven self-generated goals for skill acquisition in developmental robots

A reinforcement learning agent that autonomously explores its environment can utilize a curiosity drive to enable continual learning of skills, in the absence of any external rewards. We formulate curiosity-driven exploration, and eventual skill acquisition, as a selective sampling problem. Each env...

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Detalles Bibliográficos
Autores principales: Ngo, Hung, Luciw, Matthew, Förster, Alexander, Schmidhuber, Jürgen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2013
Materias:
Psychology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3840616/
https://www.ncbi.nlm.nih.gov/pubmed/24324448
http://dx.doi.org/10.3389/fpsyg.2013.00833

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3840616/
https://www.ncbi.nlm.nih.gov/pubmed/24324448
http://dx.doi.org/10.3389/fpsyg.2013.00833

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