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Intrinsically Motivated Exploration of Learned Goal Spaces

Finding algorithms that allow agents to discover a wide variety of skills efficiently and autonomously, remains a challenge of Artificial Intelligence. Intrinsically Motivated Goal Exploration Processes (IMGEPs) have been shown to enable real world robots to learn repertoires of policies producing a...

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Principais autores: Adrien Laversanne-Finot, Alexandre Péré, Pierre-Yves Oudeyer
Formato: Artigo
Idioma:Inglês
Publicado em: Frontiers Media S.A. 2021-01-01
coleção:Frontiers in Neurorobotics
Assuntos:
sensorimotor development
unsupervised learning
representation learning
goal space learning
intrinsic motivation
goal exploration
Acesso em linha:https://www.frontiersin.org/articles/10.3389/fnbot.2020.555271/full
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