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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Bibliographic Details

Published in:	Frontiers in Neurorobotics
Main Authors:	Elisa Massi, Jeanne Barthélemy, Juliane Mailly, Rémi Dromnelle, Julien Canitrot, Esther Poniatowski, Benoît Girard, Mehdi Khamassi
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2022-06-01
Subjects:	hippocampal replay reinforcement learning neurorobotics model-based model-free
Online Access:	https://www.frontiersin.org/articles/10.3389/fnbot.2022.864380/full