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Exploratory State Representation Learning

Not having access to compact and meaningful representations is known to significantly increase the complexity of reinforcement learning (RL). For this reason, it can be useful to perform state representation learning (SRL) before tackling RL tasks. However, obtaining a good state representation can...

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Detalles Bibliográficos
Autores principales:	Merckling, Astrid, Perrin-Gilbert, Nicolas, Coninx, Alex, Doncieux, Stéphane
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2022
Materias:	Robotics and AI
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8883277/ https://www.ncbi.nlm.nih.gov/pubmed/35237669 http://dx.doi.org/10.3389/frobt.2022.762051

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