Map-based experience replay: a memory-efficient solution to catastrophic forgetting in reinforcement learning

Deep reinforcement learning (RL) agents often suffer from catastrophic forgetting, forgetting previously found solutions in parts of the input space when training new data. Replay memories are a common solution to the problem by decorrelating and shuffling old and new training samples. They naively...

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Bibliographic Details

Published in:	Frontiers in Neurorobotics
Main Authors:	Muhammad Burhan Hafez, Tilman Immisch, Tom Weber, Stefan Wermter
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2023-06-01
Subjects:	continual learning reinforcement learning cognitive robotics catastrophic forgetting experience replay growing self-organizing maps
Online Access:	https://www.frontiersin.org/articles/10.3389/fnbot.2023.1127642/full