Model-Based and Model-Free Replay Mechanisms for Reinforcement Learning in Neurorobotics

Experience replay is widely used in AI to bootstrap reinforcement learning (RL) by enabling an agent to remember and reuse past experiences. Classical techniques include shuffled-, reversed-ordered- and prioritized-memory buffers, which have different properties and advantages depending on the natur...

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Detalles Bibliográficos
Autores principales: Massi, Elisa, Barthélemy, Jeanne, Mailly, Juliane, Dromnelle, Rémi, Canitrot, Julien, Poniatowski, Esther, Girard, Benoît, Khamassi, Mehdi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9263850/
https://www.ncbi.nlm.nih.gov/pubmed/35812782
http://dx.doi.org/10.3389/fnbot.2022.864380

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9263850/
https://www.ncbi.nlm.nih.gov/pubmed/35812782
http://dx.doi.org/10.3389/fnbot.2022.864380

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