Learning offline: memory replay in biological and artificial reinforcement learning

@article{Roscow2021LearningOM,
  title={Learning offline: memory replay in biological and artificial reinforcement learning},
  author={Emma Roscow and Raymond Chua and Rui Ponte Costa and Matt W. Jones and Nathan F. Lepora},
  journal={Trends in Neurosciences},
  year={2021},
  volume={44},
  pages={808-821}
}
Learning to act in an environment to maximise rewards is among the brain's key functions. This process has often been conceptualised within the framework of reinforcement learning, which has also gained prominence in machine learning and artificial intelligence (AI) as a way to optimise decision making. A common aspect of both biological and machine reinforcement learning is the reactivation of previously experienced episodes, referred to as replay. Replay is important for memory consolidation… Expand

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